From a295bc665700a16a4e0e86a92a52a5700a3a9635 Mon Sep 17 00:00:00 2001 From: DaniG2106 <57951796+DaniG2106@users.noreply.github.com> Date: Wed, 24 Jul 2024 12:16:37 +0200 Subject: [PATCH] full KG from HF + simple Graph Search --- .DS_Store | Bin 0 -> 6148 bytes GraphEditingTool/CustomGraph.ttl | 368 +- GraphEditingTool/Graph_backup.ttl | 189 + Hugging2Graph/crawler.py | 22 +- Hugging2Graph/graph.ttl | 435508 +++++++++++++++ .../{huggingface_data.db => huggingface.db} | Bin 8724480 -> 9125888 bytes Hugging2Graph/searchGraph.py | 153 + Hugging2Graph/sql2graph.py | 89 + Hugging2Graph/tagExtractor.py | 44 + Hugging2Graph/topTags.txt | 267 + 10 files changed, 436480 insertions(+), 160 deletions(-) create mode 100644 .DS_Store create mode 100644 GraphEditingTool/Graph_backup.ttl create mode 100644 Hugging2Graph/graph.ttl rename Hugging2Graph/{huggingface_data.db => huggingface.db} (53%) create mode 100644 Hugging2Graph/searchGraph.py create mode 100644 Hugging2Graph/sql2graph.py create mode 100644 Hugging2Graph/tagExtractor.py create mode 100644 Hugging2Graph/topTags.txt diff --git a/.DS_Store b/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..f5b7aff0fba04ca06317728aaca4e010642b67f0 GIT binary patch literal 6148 zcmeHK%Sr=55Ukc50usp44nedoOKym8d8Mq<|FoR=~dxjqcbLj*0Q< zV2BZbxL`Vr>zE~o%@f3~a7<)|W=SO`)oR4Bq%+^Dt}7f9lMbul!|GuWj^4y4RfOZd?b2 nA=)u9+A%lYj<2IA>zc3myek|NgU)==iTW9EU1U<=uNC+Lz*`mz literal 0 HcmV?d00001 diff --git a/GraphEditingTool/CustomGraph.ttl b/GraphEditingTool/CustomGraph.ttl index d7be047..f2e34a2 100644 --- a/GraphEditingTool/CustomGraph.ttl +++ b/GraphEditingTool/CustomGraph.ttl @@ -1,189 +1,259 @@ -@prefix rdfs: . -@prefix sc: . +@prefix conn: . +@prefix library: . +@prefix problem: . +@prefix tag: . +@prefix xsd: . -sc:Datatype a rdfs:Class . + conn:downloads 2926095 ; + conn:hasCoverTag tag:nlp ; + conn:hasProblem problem:text-classification ; + conn:hasTag tag:autotrain_compatible, + tag:distilbert, + tag:endpoints_compatible, + tag:generated_from_trainer, + tag:license%3Aapache-2.0, + tag:model-index, + tag:pytorch, + tag:region%3Aus, + tag:tensorboard, + tag:text-classification, + tag:transformers ; + conn:lastModified "2022-03-02T03:40:08+00:00"^^xsd:dateTime ; + conn:likes 2926095 ; + conn:model_id "621ffdc036468d709f1744de"^^xsd:string ; + conn:model_name "ActivationAI/distilbert-base-uncased-finetuned-emotion"^^xsd:string ; + conn:type conn:Model ; + conn:usesLibrary library:transformers . -sc:MLGoal a rdfs:Class . + conn:downloads 4410904 ; + conn:hasCoverTag tag:nlp ; + conn:hasProblem problem:text-classification ; + conn:hasTag tag:autotrain_compatible, + tag:distilbert, + tag:endpoints_compatible, + tag:region%3Aus, + tag:safetensors, + tag:text-classification, + tag:transformers ; + conn:lastModified "2024-04-18T09:51:24+00:00"^^xsd:dateTime ; + conn:likes 4410904 ; + conn:model_id "661fd239da0148fbd982383e"^^xsd:string ; + conn:model_name "Necent/distilbert-base-uncased-detected-jailbreak"^^xsd:string ; + conn:type conn:Model ; + conn:usesLibrary library:transformers . -sc:Model a rdfs:Class . + conn:downloads 2855930 ; + conn:hasCoverTag tag:nlp ; + conn:hasProblem problem:text-classification ; + conn:hasTag tag:autotrain_compatible, + tag:endpoints_compatible, + tag:license%3Amit, + tag:pytorch, + tag:region%3Aus, + tag:roberta, + tag:safetensors, + tag:text-classification, + tag:transformers ; + conn:lastModified "2023-10-04T10:00:58+00:00"^^xsd:dateTime ; + conn:likes 2855930 ; + conn:model_id "632322d59e488d65bf2f4742"^^xsd:string ; + conn:model_name "SamLowe/roberta-base-go_emotions"^^xsd:string ; + conn:type conn:Model ; + conn:usesLibrary library:transformers . -sc:Operation a rdfs:Class . + conn:downloads 3710303 ; + conn:hasCoverTag tag:nlp ; + conn:hasProblem problem:text-classification ; + conn:hasTag tag:arxiv%3A1810.04805, + tag:autotrain_compatible, + tag:bert, + tag:endpoints_compatible, + tag:jax, + tag:pytorch, + tag:region%3Aus, + tag:text-classification, + tag:transformers ; + conn:lastModified "2021-12-31T16:08:22+00:00"^^xsd:dateTime ; + conn:likes 3710303 ; + conn:model_id "621ffdc136468d709f1796d3"^^xsd:string ; + conn:model_name "avichr/heBERT_sentiment_analysis"^^xsd:string ; + conn:type conn:Model ; + conn:usesLibrary library:transformers . -sc:AudioData a sc:TemporalData . + conn:downloads 5338483 ; + conn:hasCoverTag tag:nlp ; + conn:hasProblem problem:text-classification ; + conn:hasTag tag:autotrain_compatible, + tag:endpoints_compatible, + tag:pytorch, + tag:region%3Aus, + tag:roberta, + tag:text-classification, + tag:transformers ; + conn:lastModified "2023-05-28T05:45:10+00:00"^^xsd:dateTime ; + conn:likes 5338483 ; + conn:model_id "622fea36174feb5439c2e4be"^^xsd:string ; + conn:model_name "cardiffnlp/twitter-roberta-base-sentiment-latest"^^xsd:string ; + conn:type conn:Model ; + conn:usesLibrary library:transformers . -sc:BERT a sc:Transformer ; - sc:hasParameters sc:167360261 ; - sc:input sc:TextData ; - sc:mlgoal sc:NaturalLanguageUnderstanding, - sc:SentimentAnalysis ; - sc:output sc:Labels . + conn:downloads 7256764 ; + conn:hasCoverTag tag:nlp ; + conn:hasProblem problem:text-classification ; + conn:hasTag tag:autotrain_compatible, + tag:distilbert, + tag:endpoints_compatible, + tag:license%3Aapache-2.0, + tag:model-index, + tag:onnx, + tag:pytorch, + tag:region%3Aus, + tag:rust, + tag:safetensors, + tag:text-classification, + tag:transformers ; + conn:lastModified "2023-12-19T16:29:37+00:00"^^xsd:dateTime ; + conn:likes 7256764 ; + conn:model_id "621ffdc036468d709f174346"^^xsd:string ; + conn:model_name "distilbert/distilbert-base-uncased-finetuned-sst-2-english"^^xsd:string ; + conn:type conn:Model ; + conn:usesLibrary library:transformers . -sc:Cropping a sc:Operation ; - sc:input sc:BoundingBox, - sc:ImageData ; - sc:output sc:ImageData . + conn:downloads 2929233 ; + conn:hasCoverTag tag:nlp ; + conn:hasProblem problem:text-classification ; + conn:hasTag tag:autotrain_compatible, + tag:bart, + tag:dataset%3Amulti_nli, + tag:endpoints_compatible, + tag:jax, + tag:license%3Amit, + tag:pytorch, + tag:region%3Aus, + tag:rust, + tag:safetensors, + tag:text-classification, + tag:transformers, + tag:zero-shot-classification ; + conn:lastModified "2023-09-05T14:49:34+00:00"^^xsd:dateTime ; + conn:likes 2929233 ; + conn:model_id "621ffdc136468d709f17adb7"^^xsd:string ; + conn:model_name "facebook/bart-large-mnli"^^xsd:string ; + conn:type conn:Model ; + conn:usesLibrary library:transformers . -sc:DETA a sc:Transformer ; - sc:hasParameters sc:48438489 ; - sc:input sc:ImageData ; - sc:mlgoal sc:ObjectDetection ; - sc:output sc:BoundingBox, - sc:Labels . + conn:downloads 53107820 ; + conn:hasCoverTag tag:nlp ; + conn:hasProblem problem:text-classification ; + conn:hasTag tag:license%3Acc-by-nc-4.0, + tag:region%3Aus, + tag:text-classification ; + conn:lastModified "2023-06-09T12:39:43+00:00"^^xsd:dateTime ; + conn:likes 53107820 ; + conn:model_id "6405e2229f5bb41f15e94b68"^^xsd:string ; + conn:model_name "facebook/fasttext-language-identification"^^xsd:string ; + conn:type conn:Model ; + conn:usesLibrary library:fasttext . -sc:DETR a sc:Transformer ; - sc:hasParameters sc:41524768 ; - sc:input sc:ImageData ; - sc:mlgoal sc:ObjectDetection ; - sc:output sc:BoundingBox, - sc:Labels . + conn:downloads 3924929 ; + conn:hasCoverTag tag:nlp ; + conn:hasProblem problem:text-classification ; + conn:hasTag tag:autotrain_compatible, + tag:endpoints_compatible, + tag:generated_from_trainer, + tag:license%3Aapache-2.0, + tag:model-index, + tag:pytorch, + tag:region%3Aus, + tag:roberta, + tag:safetensors, + tag:tensorboard, + tag:text-classification, + tag:transformers ; + conn:lastModified "2024-01-21T15:17:58+00:00"^^xsd:dateTime ; + conn:likes 3924929 ; + conn:model_id "621ffdc136468d709f17e2c1"^^xsd:string ; + conn:model_name "mrm8488/distilroberta-finetuned-financial-news-sentiment-analysis"^^xsd:string ; + conn:type conn:Model ; + conn:usesLibrary library:transformers . -sc:EEGData a sc:TemporalData . + conn:downloads 3107915 ; + conn:hasCoverTag tag:nlp ; + conn:hasProblem problem:text-classification ; + conn:hasTag tag:autotrain_compatible, + tag:endpoints_compatible, + tag:generated_from_trainer, + tag:license%3Amit, + tag:multilingual, + tag:pytorch, + tag:region%3Aus, + tag:safetensors, + tag:text-classification, + tag:transformers, + tag:xlm-roberta ; + conn:lastModified "2023-12-28T13:54:18+00:00"^^xsd:dateTime ; + conn:likes 3107915 ; + conn:model_id "621ffdc136468d709f17ebd6"^^xsd:string ; + conn:model_name "papluca/xlm-roberta-base-language-detection"^^xsd:string ; + conn:type conn:Model ; + conn:usesLibrary library:transformers . -sc:FullyConnected a sc:Model ; - sc:input sc:Features ; - sc:mlgoal sc:Classification ; - sc:output sc:Labels . +library:fasttext conn:type conn:Library . -sc:IMUData a sc:TemporalData . +tag:arxiv%3A1810.04805 conn:type conn:Tag . -sc:InceptionV4 a sc:Model ; - sc:hasParameters sc:42679816 ; - sc:input sc:ImageData ; - sc:mlgoal sc:ImageClassification ; - sc:output sc:Labels . +tag:bart conn:type conn:Tag . -sc:OneFormer a sc:Transformer ; - sc:hasParameters sc:218781179 ; - sc:input sc:ImageData ; - sc:mlgoal sc:ImageSegmentation ; - sc:output sc:Labels . +tag:bert conn:type conn:Tag . -sc:Open13 a sc:Model ; - sc:input sc:Spectrogram ; - sc:mlgoal sc:InformationEmbedding ; - sc:output sc:Features . +tag:dataset%3Amulti_nli conn:type conn:Tag . -sc:SAM a sc:Transformer ; - sc:hasParameters sc:93735472 ; - sc:input sc:ImageData ; - sc:mlgoal sc:ImageSegmentation ; - sc:output sc:Labels . +tag:license%3Acc-by-nc-4.0 conn:type conn:Tag . -sc:STFT a sc:Operation ; - sc:input sc:TemporalData ; - sc:output sc:Spectrogram . +tag:multilingual conn:type conn:Tag . -sc:TemporalConvolution a sc:Model ; - sc:input sc:TemporalData ; - sc:mlgoal sc:InformationEmbedding ; - sc:output sc:Features . +tag:onnx conn:type conn:Tag . -sc:VIT a sc:Model ; - sc:hasParameters sc:86567656 ; - sc:input sc:ImageData ; - sc:mlgoal sc:ImageClassification ; - sc:output sc:Labels . +tag:xlm-roberta conn:type conn:Tag . -sc:VideoData a sc:CompositeData ; - sc:TemporalSeq sc:ImageData ; - sc:is sc:SpatialData, - sc:TemporalData . +tag:zero-shot-classification conn:type conn:Tag . -sc:YOLO a sc:Model ; - sc:hasParameters sc:68229648 ; - sc:input sc:ImageData ; - sc:mlgoal sc:ObjectDetection ; - sc:output sc:BoundingBox, - sc:Labels . +tag:jax conn:type conn:Tag . -sc:YOLOS a sc:Transformer ; - sc:hasParameters sc:6488736 ; - sc:input sc:ImageData ; - sc:mlgoal sc:ObjectDetection ; - sc:output sc:BoundingBox, - sc:Labels . +tag:rust conn:type conn:Tag . -sc:distilbert a sc:Transformer ; - sc:hasParameters sc:135326979 ; - sc:input sc:TextData ; - sc:mlgoal sc:NaturalLanguageUnderstanding, - sc:SentimentAnalysis ; - sc:output sc:Labels . +tag:tensorboard conn:type conn:Tag . -sc:135326979 a sc:numberOfParameters . +tag:distilbert conn:type conn:Tag . -sc:167360261 a sc:numberOfParameters . +tag:generated_from_trainer conn:type conn:Tag . -sc:218781179 a sc:numberOfParameters . +tag:license%3Aapache-2.0 conn:type conn:Tag . -sc:41524768 a sc:numberOfParameters . +tag:license%3Amit conn:type conn:Tag . -sc:42679816 a sc:numberOfParameters . +tag:model-index conn:type conn:Tag . -sc:48438489 a sc:numberOfParameters . +tag:roberta conn:type conn:Tag . -sc:6488736 a sc:numberOfParameters . +tag:safetensors conn:type conn:Tag . -sc:68229648 a sc:numberOfParameters . +tag:pytorch conn:type conn:Tag . -sc:86567656 a sc:numberOfParameters . +library:transformers conn:type conn:Library . -sc:93735472 a sc:numberOfParameters . +tag:autotrain_compatible conn:type conn:Tag . -sc:SpectralDensity a sc:DiscreteData . +tag:endpoints_compatible conn:type conn:Tag . -sc:CompositeData a sc:Datatype . +tag:transformers conn:type conn:Tag . -sc:ContinuousData a sc:Datatype . +problem:text-classification conn:isA tag:nlp ; + conn:type conn:Problem . -sc:ImageClassification a sc:Classification ; - sc:input sc:ImageData ; - sc:output sc:Labels . +tag:region%3Aus conn:type conn:Tag . -sc:ImageSegmentation a sc:Classification ; - sc:input sc:ImageData ; - sc:output sc:Labels . +tag:text-classification conn:type conn:Tag . -sc:InformationEmbedding a sc:MLGoal ; - sc:output sc:Features . - -sc:SpatialData a sc:ContinuousData . - -sc:Spectrogram a sc:CompositeData ; - sc:TemporalSeq sc:SpectralDensity ; - sc:islike sc:ImageData . - -sc:Classification a sc:MLGoal ; - sc:input sc:Features ; - sc:output sc:Labels . - -sc:NaturalLanguageUnderstanding a sc:MLGoal ; - sc:input sc:TextData ; - sc:output sc:Features . - -sc:SentimentAnalysis a sc:NaturalLanguageUnderstanding ; - sc:output sc:Labels . - -sc:TextData a sc:DiscreteData ; - sc:input sc:SentimentAnalysis . - -sc:ObjectDetection a sc:MLGoal ; - sc:input sc:ImageData ; - sc:output sc:BoundingBox . - -sc:DiscreteData a sc:Datatype . - -sc:BoundingBox a sc:DiscreteData . - -sc:Features a sc:DiscreteData . - -sc:TemporalData a sc:ContinuousData . - -sc:Transformer a sc:Model . - -sc:numberOfParameters a rdfs:Class . - -sc:ImageData a sc:SpatialData . - -sc:Labels a sc:DiscreteData . +tag:nlp conn:type conn:CoverTag . diff --git a/GraphEditingTool/Graph_backup.ttl b/GraphEditingTool/Graph_backup.ttl new file mode 100644 index 0000000..d7be047 --- /dev/null +++ b/GraphEditingTool/Graph_backup.ttl @@ -0,0 +1,189 @@ +@prefix rdfs: . +@prefix sc: . + +sc:Datatype a rdfs:Class . + +sc:MLGoal a rdfs:Class . + +sc:Model a rdfs:Class . + +sc:Operation a rdfs:Class . + +sc:AudioData a sc:TemporalData . + +sc:BERT a sc:Transformer ; + sc:hasParameters sc:167360261 ; + sc:input sc:TextData ; + sc:mlgoal sc:NaturalLanguageUnderstanding, + sc:SentimentAnalysis ; + sc:output sc:Labels . + +sc:Cropping a sc:Operation ; + sc:input sc:BoundingBox, + sc:ImageData ; + sc:output sc:ImageData . + +sc:DETA a sc:Transformer ; + sc:hasParameters sc:48438489 ; + sc:input sc:ImageData ; + sc:mlgoal sc:ObjectDetection ; + sc:output sc:BoundingBox, + sc:Labels . + +sc:DETR a sc:Transformer ; + sc:hasParameters sc:41524768 ; + sc:input sc:ImageData ; + sc:mlgoal sc:ObjectDetection ; + sc:output sc:BoundingBox, + sc:Labels . + +sc:EEGData a sc:TemporalData . + +sc:FullyConnected a sc:Model ; + sc:input sc:Features ; + sc:mlgoal sc:Classification ; + sc:output sc:Labels . + +sc:IMUData a sc:TemporalData . + +sc:InceptionV4 a sc:Model ; + sc:hasParameters sc:42679816 ; + sc:input sc:ImageData ; + sc:mlgoal sc:ImageClassification ; + sc:output sc:Labels . + +sc:OneFormer a sc:Transformer ; + sc:hasParameters sc:218781179 ; + sc:input sc:ImageData ; + sc:mlgoal sc:ImageSegmentation ; + sc:output sc:Labels . + +sc:Open13 a sc:Model ; + sc:input sc:Spectrogram ; + sc:mlgoal sc:InformationEmbedding ; + sc:output sc:Features . + +sc:SAM a sc:Transformer ; + sc:hasParameters sc:93735472 ; + sc:input sc:ImageData ; + sc:mlgoal sc:ImageSegmentation ; + sc:output sc:Labels . + +sc:STFT a sc:Operation ; + sc:input sc:TemporalData ; + sc:output sc:Spectrogram . + +sc:TemporalConvolution a sc:Model ; + sc:input sc:TemporalData ; + sc:mlgoal sc:InformationEmbedding ; + sc:output sc:Features . + +sc:VIT a sc:Model ; + sc:hasParameters sc:86567656 ; + sc:input sc:ImageData ; + sc:mlgoal sc:ImageClassification ; + sc:output sc:Labels . + +sc:VideoData a sc:CompositeData ; + sc:TemporalSeq sc:ImageData ; + sc:is sc:SpatialData, + sc:TemporalData . + +sc:YOLO a sc:Model ; + sc:hasParameters sc:68229648 ; + sc:input sc:ImageData ; + sc:mlgoal sc:ObjectDetection ; + sc:output sc:BoundingBox, + sc:Labels . + +sc:YOLOS a sc:Transformer ; + sc:hasParameters sc:6488736 ; + sc:input sc:ImageData ; + sc:mlgoal sc:ObjectDetection ; + sc:output sc:BoundingBox, + sc:Labels . + +sc:distilbert a sc:Transformer ; + sc:hasParameters sc:135326979 ; + sc:input sc:TextData ; + sc:mlgoal sc:NaturalLanguageUnderstanding, + sc:SentimentAnalysis ; + sc:output sc:Labels . + +sc:135326979 a sc:numberOfParameters . + +sc:167360261 a sc:numberOfParameters . + +sc:218781179 a sc:numberOfParameters . + +sc:41524768 a sc:numberOfParameters . + +sc:42679816 a sc:numberOfParameters . + +sc:48438489 a sc:numberOfParameters . + +sc:6488736 a sc:numberOfParameters . + +sc:68229648 a sc:numberOfParameters . + +sc:86567656 a sc:numberOfParameters . + +sc:93735472 a sc:numberOfParameters . + +sc:SpectralDensity a sc:DiscreteData . + +sc:CompositeData a sc:Datatype . + +sc:ContinuousData a sc:Datatype . + +sc:ImageClassification a sc:Classification ; + sc:input sc:ImageData ; + sc:output sc:Labels . + +sc:ImageSegmentation a sc:Classification ; + sc:input sc:ImageData ; + sc:output sc:Labels . + +sc:InformationEmbedding a sc:MLGoal ; + sc:output sc:Features . + +sc:SpatialData a sc:ContinuousData . + +sc:Spectrogram a sc:CompositeData ; + sc:TemporalSeq sc:SpectralDensity ; + sc:islike sc:ImageData . + +sc:Classification a sc:MLGoal ; + sc:input sc:Features ; + sc:output sc:Labels . + +sc:NaturalLanguageUnderstanding a sc:MLGoal ; + sc:input sc:TextData ; + sc:output sc:Features . + +sc:SentimentAnalysis a sc:NaturalLanguageUnderstanding ; + sc:output sc:Labels . + +sc:TextData a sc:DiscreteData ; + sc:input sc:SentimentAnalysis . + +sc:ObjectDetection a sc:MLGoal ; + sc:input sc:ImageData ; + sc:output sc:BoundingBox . + +sc:DiscreteData a sc:Datatype . + +sc:BoundingBox a sc:DiscreteData . + +sc:Features a sc:DiscreteData . + +sc:TemporalData a sc:ContinuousData . + +sc:Transformer a sc:Model . + +sc:numberOfParameters a rdfs:Class . + +sc:ImageData a sc:SpatialData . + +sc:Labels a sc:DiscreteData . + diff --git a/Hugging2Graph/crawler.py b/Hugging2Graph/crawler.py index 2f6d59a..d1a7e42 100644 --- a/Hugging2Graph/crawler.py +++ b/Hugging2Graph/crawler.py @@ -13,7 +13,7 @@ tags = json.loads(response.content)["pipeline_tag"] print(tags) -conn = sqlite3.connect('huggingface_data.db') +conn = sqlite3.connect('huggingface.db') cursor = conn.cursor() @@ -21,9 +21,9 @@ cursor.execute(''' CREATE TABLE IF NOT EXISTS Models ( model_id TEXT PRIMARY KEY, model_name TEXT, - tag TEXT, - customTags TEXT, - subType TEXT, + problem TEXT, + tags TEXT, + coverTag TEXT, library TEXT, downloads INTEGER, likes INTEGER, @@ -33,14 +33,14 @@ CREATE TABLE IF NOT EXISTS Models ( conn.commit() for tag in tags: - tag_name = tag["id"] - subType = tag["subType"] + problem = tag["id"] + coverTag = tag["subType"] - print(tag_name) + print(problem) response = requests.get( "https://huggingface.co/api/models", - params={"limit": "unlimited", "full": "True", "config": "True", "sort": "downloads", "filter": tag_name}, + params={"limit": "unlimited", "full": "True", "config": "True", "sort": "downloads", "filter": problem}, headers={} ) data = json.loads(response.content) @@ -49,16 +49,16 @@ for tag in tags: try: model_id = model['_id'] model_name = model['id'] - customTags = json.dumps(model['tags']) + tags = json.dumps(model['tags']) library = model["library_name"] downloads = model['downloads'] likes = model['downloads'] modified = model['lastModified'] cursor.execute(''' - INSERT INTO Models (model_id, model_name, tag, customTags, subType, library, downloads, likes, lastModified) + INSERT INTO Models (model_id, model_name, problem, tags, coverTag, library, downloads, likes, lastModified) VALUES (?, ?, ?, ?, ?, ?, ?, ?, ?) - ''', (model_id, model_name, tag_name, customTags, subType, library, downloads, likes, modified)) + ''', (model_id, model_name, problem, tags, coverTag, library, downloads, likes, modified)) except sqlite3.IntegrityError: # print(model) pass diff --git a/Hugging2Graph/graph.ttl b/Hugging2Graph/graph.ttl new file mode 100644 index 0000000..787638e --- /dev/null +++ b/Hugging2Graph/graph.ttl @@ -0,0 +1,435508 @@ +@prefix conn: . +@prefix xsd: . + +"0-hero/led-large-legal-summary" a conn:Model ; + 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"text-to-image"^^xsd:string ; + conn:lastModified "2024-07-05T16:38:27+00:00"^^xsd:dateTime ; + conn:likes 1079 ; + conn:model_id "66882061d03677d9bda94fe8"^^xsd:string ; + conn:model_name "John6666/forreal-xl-v5-sdxl"^^xsd:string ; + conn:usesLibrary "diffusers" . + +"John6666/getphat-pony-lewdfusion-v1-sdxl" a conn:Model ; + conn:downloads 5217 ; + conn:hasCoverTag "cv" ; + conn:hasProblem "text-to-image" ; + conn:hasTag "autotrain_compatible"^^xsd:string, + "diffusers"^^xsd:string, + "diffusers:StableDiffusionXLPipeline"^^xsd:string, + "endpoints_compatible"^^xsd:string, + "license:other"^^xsd:string, + "pony"^^xsd:string, + "region:us"^^xsd:string, + "safetensors"^^xsd:string, + "stable-diffusion"^^xsd:string, + "stable-diffusion-xl"^^xsd:string, + "text-to-image"^^xsd:string ; + conn:lastModified "2024-07-18T02:24:00+00:00"^^xsd:dateTime ; + conn:likes 5217 ; + conn:model_id "66987af0371b4f0db92760fc"^^xsd:string ; + conn:model_name 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"license:other"^^xsd:string, + "pony"^^xsd:string, + "region:us"^^xsd:string, + "safetensors"^^xsd:string, + "stable-diffusion"^^xsd:string, + "stable-diffusion-xl"^^xsd:string, + "text-to-image"^^xsd:string ; + conn:lastModified "2024-06-09T13:42:52+00:00"^^xsd:dateTime ; + conn:likes 1352 ; + conn:model_id "6665b01dfe3f9a63dd3d0fd0"^^xsd:string ; + conn:model_name "John6666/hassaku-xl-hentai-v13-sdxl"^^xsd:string ; + conn:usesLibrary "diffusers" . + +"John6666/hentai-cinematic-pony-v2-sdxl" a conn:Model ; + conn:downloads 1787 ; + conn:hasCoverTag "cv" ; + conn:hasProblem "text-to-image" ; + conn:hasTag "anime"^^xsd:string, + "autotrain_compatible"^^xsd:string, + "diffusers"^^xsd:string, + "diffusers:StableDiffusionXLPipeline"^^xsd:string, + "endpoints_compatible"^^xsd:string, + "license:other"^^xsd:string, + "pony"^^xsd:string, + "region:us"^^xsd:string, + "safetensors"^^xsd:string, + "stable-diffusion"^^xsd:string, + "stable-diffusion-xl"^^xsd:string, + "text-to-image"^^xsd:string 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"Yntec/ChiliConCarne"^^xsd:string ; + conn:usesLibrary "diffusers" . + +"Yntec/ChilloutMix" a conn:Model ; + conn:downloads 1298 ; + conn:hasCoverTag "cv" ; + conn:hasProblem "text-to-image" ; + conn:hasTag "autotrain_compatible"^^xsd:string, + "diffusers"^^xsd:string, + "diffusers:StableDiffusionPipeline"^^xsd:string, + "endpoints_compatible"^^xsd:string, + "license:creativeml-openrail-m"^^xsd:string, + "region:us"^^xsd:string, + "safetensors"^^xsd:string, + "stable-diffusion"^^xsd:string, + "stable-diffusion-diffusers"^^xsd:string, + "text-to-image"^^xsd:string ; + conn:lastModified "2023-11-21T00:46:09+00:00"^^xsd:dateTime ; + conn:likes 1298 ; + conn:model_id "655beb05953cf1ef5e1daf41"^^xsd:string ; + conn:model_name "Yntec/ChilloutMix"^^xsd:string ; + conn:usesLibrary "diffusers" . + +"Yntec/Chip_n_DallE" a conn:Model ; + conn:downloads 11082 ; + conn:hasCoverTag "cv" ; + conn:hasProblem "text-to-image" ; + conn:hasTag "Anime"^^xsd:string, + "autotrain_compatible"^^xsd:string, + "diffusers"^^xsd:string, + "diffusers:StableDiffusionPipeline"^^xsd:string, + "endpoints_compatible"^^xsd:string, + "license:creativeml-openrail-m"^^xsd:string, + "region:us"^^xsd:string, + "safetensors"^^xsd:string, + "stable-diffusion"^^xsd:string, + "stable-diffusion-diffusers"^^xsd:string, + "text-to-image"^^xsd:string ; + conn:lastModified "2024-07-17T10:24:48+00:00"^^xsd:dateTime ; + conn:likes 11082 ; + conn:model_id "6692cb3b5d1525fdfadb3546"^^xsd:string ; + conn:model_name "Yntec/Chip_n_DallE"^^xsd:string ; + conn:usesLibrary "diffusers" . + +"Yntec/CinemaEros" a conn:Model ; + conn:downloads 1892 ; + conn:hasCoverTag "cv" ; + conn:hasProblem "text-to-image" ; + conn:hasTag "autotrain_compatible"^^xsd:string, + "diffusers"^^xsd:string, + "diffusers:StableDiffusionPipeline"^^xsd:string, + "endpoints_compatible"^^xsd:string, + "license:creativeml-openrail-m"^^xsd:string, + "region:us"^^xsd:string, + "safetensors"^^xsd:string, + "stable-diffusion"^^xsd:string, + "stable-diffusion-diffusers"^^xsd:string, + "text-to-image"^^xsd:string ; + conn:lastModified "2024-05-29T16:26:39+00:00"^^xsd:dateTime ; + conn:likes 1892 ; + conn:model_id "64cddf74c0c627dfa79c4884"^^xsd:string ; + conn:model_name "Yntec/CinemaEros"^^xsd:string ; + conn:usesLibrary "diffusers" . + +"Yntec/CinematicReality" a conn:Model ; + conn:downloads 2749 ; + conn:hasCoverTag "cv" ; + conn:hasProblem "text-to-image" ; + conn:hasTag "autotrain_compatible"^^xsd:string, + "diffusers"^^xsd:string, + "diffusers:StableDiffusionPipeline"^^xsd:string, + "license:creativeml-openrail-m"^^xsd:string, + "region:us"^^xsd:string, + "safetensors"^^xsd:string, + "text-to-image"^^xsd:string ; + conn:lastModified "2024-03-27T00:00:12+00:00"^^xsd:dateTime ; + conn:likes 2749 ; + conn:model_id "64cdf25d5c86caf951b3ce05"^^xsd:string ; + conn:model_name "Yntec/CinematicReality"^^xsd:string ; + conn:usesLibrary "diffusers" . + +"Yntec/ClassicEra" a conn:Model ; + conn:downloads 1202 ; + 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conn:model_id "6567ab60fd8939c27125b74c"^^xsd:string ; + conn:model_name "Yntec/CutesyAnime"^^xsd:string ; + conn:usesLibrary "diffusers" . + +"Yntec/CyberRealistic" a conn:Model ; + conn:downloads 4088 ; + conn:hasCoverTag "cv" ; + conn:hasProblem "text-to-image" ; + conn:hasTag "autotrain_compatible"^^xsd:string, + "diffusers"^^xsd:string, + "diffusers:StableDiffusionPipeline"^^xsd:string, + "endpoints_compatible"^^xsd:string, + "license:creativeml-openrail-m"^^xsd:string, + "region:us"^^xsd:string, + "safetensors"^^xsd:string, + "stable-diffusion"^^xsd:string, + "stable-diffusion-diffusers"^^xsd:string, + "text-to-image"^^xsd:string ; + conn:lastModified "2023-10-17T04:07:07+00:00"^^xsd:dateTime ; + conn:likes 4088 ; + conn:model_id "652daed7cc4609d64390210e"^^xsd:string ; + conn:model_name "Yntec/CyberRealistic"^^xsd:string ; + conn:usesLibrary "diffusers" . + +"Yntec/DaintyMix" a conn:Model ; + conn:downloads 1357 ; + conn:hasCoverTag "cv" ; + conn:hasProblem "text-to-image" ; + 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conn:hasProblem "audio-to-audio" ; + conn:hasTag "audio-to-audio"^^xsd:string, + "endpoints_compatible"^^xsd:string, + "region:us"^^xsd:string, + "rvc"^^xsd:string, + "sail-rvc"^^xsd:string, + "transformers"^^xsd:string ; + conn:lastModified "2023-07-14T07:38:32+00:00"^^xsd:dateTime ; + conn:likes 319 ; + conn:model_id "64b0fb5478da6a94ed3b4951"^^xsd:string ; + conn:model_name "sail-rvc/harry-styles_e150_s6600"^^xsd:string ; + conn:usesLibrary "transformers" . + +"sail-rvc/haruka2_v2_e320_s9280" a conn:Model ; + conn:downloads 2 ; + conn:hasCoverTag "audio" ; + conn:hasProblem "audio-to-audio" ; + conn:hasTag "audio-to-audio"^^xsd:string, + "endpoints_compatible"^^xsd:string, + "region:us"^^xsd:string, + "rvc"^^xsd:string, + "sail-rvc"^^xsd:string, + "transformers"^^xsd:string ; + conn:lastModified "2023-07-14T07:38:22+00:00"^^xsd:dateTime ; + conn:likes 2 ; + conn:model_id "64b0fb52698046a2f2d53af7"^^xsd:string ; + conn:model_name "sail-rvc/haruka2_v2_e320_s9280"^^xsd:string ; + conn:usesLibrary "transformers" . + +"sail-rvc/hayoung" a conn:Model ; + conn:downloads 3 ; + conn:hasCoverTag "audio" ; + conn:hasProblem "audio-to-audio" ; + conn:hasTag "audio-to-audio"^^xsd:string, + "endpoints_compatible"^^xsd:string, + "region:us"^^xsd:string, + "rvc"^^xsd:string, + "sail-rvc"^^xsd:string, + "transformers"^^xsd:string ; + conn:lastModified "2023-07-14T07:38:34+00:00"^^xsd:dateTime ; + conn:likes 3 ; + conn:model_id "64b0fb5551eaef94ffadb06f"^^xsd:string ; + conn:model_name "sail-rvc/hayoung"^^xsd:string ; + conn:usesLibrary "transformers" . + +"sail-rvc/hbcnew2333333" a conn:Model ; + conn:downloads 2 ; + conn:hasCoverTag "audio" ; + conn:hasProblem "audio-to-audio" ; + conn:hasTag "audio-to-audio"^^xsd:string, + "endpoints_compatible"^^xsd:string, + "region:us"^^xsd:string, + "rvc"^^xsd:string, + "sail-rvc"^^xsd:string, + "transformers"^^xsd:string ; + conn:lastModified "2023-07-14T07:38:16+00:00"^^xsd:dateTime ; + conn:likes 2 ; + conn:model_id 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"audio-to-audio"^^xsd:string, + "endpoints_compatible"^^xsd:string, + "region:us"^^xsd:string, + "rvc"^^xsd:string, + "sail-rvc"^^xsd:string, + "transformers"^^xsd:string ; + conn:lastModified "2023-07-14T07:38:49+00:00"^^xsd:dateTime ; + conn:likes 2 ; + conn:model_id "64b0fb6f4db8a01408cde225"^^xsd:string ; + conn:model_name "sail-rvc/iumodel"^^xsd:string ; + conn:usesLibrary "transformers" . + +"sail-rvc/jack_e1000_s13000" a conn:Model ; + conn:downloads 2 ; + conn:hasCoverTag "audio" ; + conn:hasProblem "audio-to-audio" ; + conn:hasTag "audio-to-audio"^^xsd:string, + "endpoints_compatible"^^xsd:string, + "region:us"^^xsd:string, + "rvc"^^xsd:string, + "sail-rvc"^^xsd:string, + "transformers"^^xsd:string ; + conn:lastModified "2023-07-14T07:38:54+00:00"^^xsd:dateTime ; + conn:likes 2 ; + conn:model_id "64b0fb73a007f53943b1fd78"^^xsd:string ; + conn:model_name "sail-rvc/jack_e1000_s13000"^^xsd:string ; + conn:usesLibrary "transformers" . + +"sail-rvc/jasonsonicv1_e390_s12480" a conn:Model ; + conn:downloads 2 ; + conn:hasCoverTag "audio" ; + conn:hasProblem "audio-to-audio" ; + conn:hasTag "audio-to-audio"^^xsd:string, + "endpoints_compatible"^^xsd:string, + "region:us"^^xsd:string, + "rvc"^^xsd:string, + "sail-rvc"^^xsd:string, + "transformers"^^xsd:string ; + conn:lastModified "2023-07-14T07:39:38+00:00"^^xsd:dateTime ; + conn:likes 2 ; + conn:model_id "64b0fb7fa007f53943b1ff74"^^xsd:string ; + conn:model_name "sail-rvc/jasonsonicv1_e390_s12480"^^xsd:string ; + conn:usesLibrary "transformers" . + +"sail-rvc/jerkface" a conn:Model ; + conn:downloads 6 ; + conn:hasCoverTag "audio" ; + conn:hasProblem "audio-to-audio" ; + conn:hasTag "audio-to-audio"^^xsd:string, + "endpoints_compatible"^^xsd:string, + "region:us"^^xsd:string, + "rvc"^^xsd:string, + "sail-rvc"^^xsd:string, + "transformers"^^xsd:string ; + conn:lastModified "2023-07-14T07:38:59+00:00"^^xsd:dateTime ; + conn:likes 6 ; + conn:model_id "64b0fb7c14b3c5479ef0a401"^^xsd:string ; + conn:model_name 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conn:hasProblem "audio-to-audio" ; + conn:hasTag "audio-to-audio"^^xsd:string, + "endpoints_compatible"^^xsd:string, + "region:us"^^xsd:string, + "rvc"^^xsd:string, + "sail-rvc"^^xsd:string, + "transformers"^^xsd:string ; + conn:lastModified "2023-07-14T07:39:49+00:00"^^xsd:dateTime ; + conn:likes 2 ; + conn:model_id "64b0fb9151eaef94ffadbb8d"^^xsd:string ; + conn:model_name "sail-rvc/jschlatt"^^xsd:string ; + conn:usesLibrary "transformers" . + +"sail-rvc/juani" a conn:Model ; + conn:downloads 2 ; + conn:hasCoverTag "audio" ; + conn:hasProblem "audio-to-audio" ; + conn:hasTag "audio-to-audio"^^xsd:string, + "endpoints_compatible"^^xsd:string, + "region:us"^^xsd:string, + "rvc"^^xsd:string, + "sail-rvc"^^xsd:string, + "transformers"^^xsd:string ; + conn:lastModified "2023-07-14T07:39:08+00:00"^^xsd:dateTime ; + conn:likes 2 ; + conn:model_id "64b0fb8ff2809c52ed2b16a0"^^xsd:string ; + conn:model_name "sail-rvc/juani"^^xsd:string ; + conn:usesLibrary "transformers" . + 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+ conn:model_name "sail-rvc/jungkook2333333"^^xsd:string ; + conn:usesLibrary "transformers" . + +"sail-rvc/juyeonmodel" a conn:Model ; + conn:downloads 6 ; + conn:hasCoverTag "audio" ; + conn:hasProblem "audio-to-audio" ; + conn:hasTag "audio-to-audio"^^xsd:string, + "endpoints_compatible"^^xsd:string, + "region:us"^^xsd:string, + "rvc"^^xsd:string, + "sail-rvc"^^xsd:string, + "transformers"^^xsd:string ; + conn:lastModified "2023-07-14T07:39:32+00:00"^^xsd:dateTime ; + conn:likes 6 ; + conn:model_id "64b0fb9477f29cf572523698"^^xsd:string ; + conn:model_name "sail-rvc/juyeonmodel"^^xsd:string ; + conn:usesLibrary "transformers" . + +"sail-rvc/kaeya-jp" a conn:Model ; + conn:downloads 6 ; + conn:hasCoverTag "audio" ; + conn:hasProblem "audio-to-audio" ; + conn:hasTag "audio-to-audio"^^xsd:string, + "endpoints_compatible"^^xsd:string, + "region:us"^^xsd:string, + "rvc"^^xsd:string, + "sail-rvc"^^xsd:string, + "transformers"^^xsd:string ; + conn:lastModified 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"region:us"^^xsd:string, + "rvc"^^xsd:string, + "sail-rvc"^^xsd:string, + "transformers"^^xsd:string ; + conn:lastModified "2023-07-14T07:39:15+00:00"^^xsd:dateTime ; + conn:likes 2 ; + conn:model_id "64b0fb976e7e579ee9aec35a"^^xsd:string ; + conn:model_name "sail-rvc/karen2333333"^^xsd:string ; + conn:usesLibrary "transformers" . + +"sail-rvc/karen_c" a conn:Model ; + conn:downloads 3 ; + conn:hasCoverTag "audio" ; + conn:hasProblem "audio-to-audio" ; + conn:hasTag "audio-to-audio"^^xsd:string, + "endpoints_compatible"^^xsd:string, + "region:us"^^xsd:string, + "rvc"^^xsd:string, + "sail-rvc"^^xsd:string, + "transformers"^^xsd:string ; + conn:lastModified "2023-07-14T07:39:20+00:00"^^xsd:dateTime ; + conn:likes 3 ; + conn:model_id "64b0fb99f12b4736666d6610"^^xsd:string ; + conn:model_name "sail-rvc/karen_c"^^xsd:string ; + conn:usesLibrary "transformers" . + +"sail-rvc/karosppmV1_e300" a conn:Model ; + conn:downloads 3 ; + conn:hasCoverTag "audio" ; + conn:hasProblem "audio-to-audio" ; + conn:hasTag "audio-to-audio"^^xsd:string, + "endpoints_compatible"^^xsd:string, + "region:us"^^xsd:string, + "rvc"^^xsd:string, + "sail-rvc"^^xsd:string, + "transformers"^^xsd:string ; + conn:lastModified "2023-07-14T07:39:28+00:00"^^xsd:dateTime ; + conn:likes 3 ; + conn:model_id "64b0fb9ef2809c52ed2b195f"^^xsd:string ; + conn:model_name "sail-rvc/karosppmV1_e300"^^xsd:string ; + conn:usesLibrary "transformers" . + +"sail-rvc/kazuha-jp__2_" a conn:Model ; + conn:downloads 2 ; + conn:hasCoverTag "audio" ; + conn:hasProblem "audio-to-audio" ; + conn:hasTag "audio-to-audio"^^xsd:string, + "endpoints_compatible"^^xsd:string, + "region:us"^^xsd:string, + "rvc"^^xsd:string, + "sail-rvc"^^xsd:string, + "transformers"^^xsd:string ; + conn:lastModified "2023-07-14T07:39:26+00:00"^^xsd:dateTime ; + conn:likes 2 ; + conn:model_id "64b0fba114b3c5479ef0aa48"^^xsd:string ; + conn:model_name "sail-rvc/kazuha-jp__2_"^^xsd:string ; + conn:usesLibrary "transformers" . + +"sail-rvc/kevin" a conn:Model ; + conn:downloads 3 ; + conn:hasCoverTag "audio" ; + conn:hasProblem "audio-to-audio" ; + conn:hasTag "audio-to-audio"^^xsd:string, + "endpoints_compatible"^^xsd:string, + "region:us"^^xsd:string, + "rvc"^^xsd:string, + "sail-rvc"^^xsd:string, + "transformers"^^xsd:string ; + conn:lastModified "2023-07-14T07:39:31+00:00"^^xsd:dateTime ; + conn:likes 3 ; + conn:model_id "64b0fba8e34eb618554863a8"^^xsd:string ; + conn:model_name "sail-rvc/kevin"^^xsd:string ; + conn:usesLibrary "transformers" . + +"sail-rvc/kim-jong-un-v12333333" a conn:Model ; + conn:downloads 5 ; + conn:hasCoverTag "audio" ; + conn:hasProblem "audio-to-audio" ; + conn:hasTag "audio-to-audio"^^xsd:string, + "endpoints_compatible"^^xsd:string, + "region:us"^^xsd:string, + "rvc"^^xsd:string, + "sail-rvc"^^xsd:string, + "transformers"^^xsd:string ; + conn:lastModified "2023-07-14T07:39:32+00:00"^^xsd:dateTime ; + conn:likes 5 ; + conn:model_id "64b0fba98f2b08d1acadc6a5"^^xsd:string ; + conn:model_name 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conn:model_name "sail-rvc/max"^^xsd:string ; + conn:usesLibrary "transformers" . + +"sail-rvc/mbappe" a conn:Model ; + conn:downloads 3 ; + conn:hasCoverTag "audio" ; + conn:hasProblem "audio-to-audio" ; + conn:hasTag "audio-to-audio"^^xsd:string, + "endpoints_compatible"^^xsd:string, + "region:us"^^xsd:string, + "rvc"^^xsd:string, + "sail-rvc"^^xsd:string, + "transformers"^^xsd:string ; + conn:lastModified "2023-07-14T07:40:51+00:00"^^xsd:dateTime ; + conn:likes 3 ; + conn:model_id "64b0fbf3e55e77179870b9ed"^^xsd:string ; + conn:model_name "sail-rvc/mbappe"^^xsd:string ; + conn:usesLibrary "transformers" . + +"sail-rvc/mc" a conn:Model ; + conn:downloads 2 ; + conn:hasCoverTag "audio" ; + conn:hasProblem "audio-to-audio" ; + conn:hasTag "audio-to-audio"^^xsd:string, + "endpoints_compatible"^^xsd:string, + "region:us"^^xsd:string, + "rvc"^^xsd:string, + "sail-rvc"^^xsd:string, + "transformers"^^xsd:string ; + conn:lastModified "2023-07-14T07:40:44+00:00"^^xsd:dateTime ; + conn:likes 2 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; + conn:hasProblem "audio-to-audio" ; + conn:hasTag "audio-to-audio"^^xsd:string, + "endpoints_compatible"^^xsd:string, + "region:us"^^xsd:string, + "rvc"^^xsd:string, + "sail-rvc"^^xsd:string, + "transformers"^^xsd:string ; + conn:lastModified "2023-07-14T07:41:05+00:00"^^xsd:dateTime ; + conn:likes 6 ; + conn:model_id "64b0fc00d0a5baed1dadd6a8"^^xsd:string ; + conn:model_name "sail-rvc/michael_bad_era"^^xsd:string ; + conn:usesLibrary "transformers" . + +"sail-rvc/midnight-riders500" a conn:Model ; + conn:downloads 2 ; + conn:hasCoverTag "audio" ; + conn:hasProblem "audio-to-audio" ; + conn:hasTag "audio-to-audio"^^xsd:string, + "endpoints_compatible"^^xsd:string, + "region:us"^^xsd:string, + "rvc"^^xsd:string, + "sail-rvc"^^xsd:string, + "transformers"^^xsd:string ; + conn:lastModified "2023-07-14T07:41:04+00:00"^^xsd:dateTime ; + conn:likes 2 ; + conn:model_id "64b0fc007a475fba70b1052a"^^xsd:string ; + conn:model_name "sail-rvc/midnight-riders500"^^xsd:string ; + conn:usesLibrary 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; + conn:usesLibrary "diffusers" . + +"stablediffusionapi/cyberrealistic" a conn:Model ; + conn:downloads 1004 ; + conn:hasCoverTag "cv" ; + conn:hasProblem "text-to-image" ; + conn:hasTag "autotrain_compatible"^^xsd:string, + "diffusers"^^xsd:string, + "diffusers:StableDiffusionPipeline"^^xsd:string, + "endpoints_compatible"^^xsd:string, + "license:creativeml-openrail-m"^^xsd:string, + "region:us"^^xsd:string, + "stable-diffusion-api"^^xsd:string, + "text-to-image"^^xsd:string, + "ultra-realistic"^^xsd:string ; + conn:lastModified "2023-08-29T18:15:43+00:00"^^xsd:dateTime ; + conn:likes 1004 ; + conn:model_id "645e9554c4304442f114c39a"^^xsd:string ; + conn:model_name "stablediffusionapi/cyberrealistic"^^xsd:string ; + conn:usesLibrary "diffusers" . + +"stablediffusionapi/darkblueaphrodite-nsfw-he" a conn:Model ; + conn:downloads 10542 ; + conn:hasCoverTag "cv" ; + conn:hasProblem "text-to-image" ; + conn:hasTag "autotrain_compatible"^^xsd:string, + "diffusers"^^xsd:string, + 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. + +"ML-Agents-SnowballTarget"^^xsd:string a conn:Tag . + +"license:gemma"^^xsd:string a conn:Tag . + +"license:openrail"^^xsd:string a conn:Tag . + +"document-question-answering" a conn:Problem ; + conn:hasCoverTag "multimodal" . + +"image-captioning"^^xsd:string a conn:Tag . + +"document-question-answering"^^xsd:string a conn:Tag . + +"open_clip" a conn:Library . + +"open_clip"^^xsd:string a conn:Tag . + +"mistral"^^xsd:string a conn:Tag . + +"license:cc-by-nc-sa-4.0"^^xsd:string a conn:Tag . + +"license:cc-by-sa-4.0"^^xsd:string a conn:Tag . + +"stable-diffusion-xl"^^xsd:string a conn:Tag . + +"art"^^xsd:string a conn:Tag . + +"mt5"^^xsd:string a conn:Tag . + +"arxiv:1908.10084"^^xsd:string a conn:Tag . + +"autotrain"^^xsd:string a conn:Tag . + +"pretraining"^^xsd:string a conn:Tag . + +"license:bsd-3-clause"^^xsd:string a conn:Tag . + +"base_model:finetune:microsoft/speecht5_tts"^^xsd:string a conn:Tag . + +"deberta-v2"^^xsd:string a conn:Tag . + +"hf-asr-leaderboard"^^xsd:string a conn:Tag . + +"vision-encoder-decoder"^^xsd:string a conn:Tag . + +"base_model:finetune:MCG-NJU/videomae-base"^^xsd:string a conn:Tag . + +"co2_eq_emissions"^^xsd:string a conn:Tag . + +"tabular-classification" a conn:Problem ; + conn:hasCoverTag "tabular" . + +"dataset:marsyas/gtzan"^^xsd:string a conn:Tag . + +"diffusers:StableDiffusionXLPipeline"^^xsd:string a conn:Tag . + +"tabular-classification"^^xsd:string a conn:Tag . + +"arxiv:2010.11929"^^xsd:string a conn:Tag . + +"transformers.js" a conn:Library . + +"gguf"^^xsd:string a conn:Tag . + +"mteb"^^xsd:string a conn:Tag . + +"base_model:microsoft/speecht5_tts"^^xsd:string a conn:Tag . + +"image-feature-extraction" a conn:Problem ; + conn:hasCoverTag "cv" . + +"base_model:MCG-NJU/videomae-base"^^xsd:string a conn:Tag . + +"image-feature-extraction"^^xsd:string a conn:Tag . + +"speech"^^xsd:string a conn:Tag . + +"visual-question-answering" a conn:Problem ; + conn:hasCoverTag "multimodal" . + +"transformers.js"^^xsd:string a conn:Tag . + +"hubert"^^xsd:string a conn:Tag . + +"Huggy"^^xsd:string a conn:Tag . + +"bart"^^xsd:string a conn:Tag . + +"tabular" a conn:CoverTag . + +"zero-shot-classification" a conn:Problem ; + conn:hasCoverTag "nlp" . + +"image-to-image" a conn:Problem ; + conn:hasCoverTag "cv" . + +"conversational"^^xsd:string a conn:Tag . + +"image-text-to-text" a conn:Problem ; + conn:hasCoverTag "multimodal" . + +"image-to-image"^^xsd:string a conn:Tag . + +"distilbert"^^xsd:string a conn:Tag . + +"visual-question-answering"^^xsd:string a conn:Tag . + +"unity-ml-agents"^^xsd:string a conn:Tag . + +"zero-shot-classification"^^xsd:string a conn:Tag . + +"image-text-to-text"^^xsd:string a conn:Tag . + +"clip"^^xsd:string a conn:Tag . + +"license:cc-by-4.0"^^xsd:string a conn:Tag . + +"multilingual"^^xsd:string a conn:Tag . + +"segformer"^^xsd:string a conn:Tag . + +"arxiv:2305.13516"^^xsd:string a conn:Tag . + +"mms"^^xsd:string a conn:Tag . + +"text-to-audio" a conn:Problem ; + conn:hasCoverTag "audio" . + +"whisper"^^xsd:string a conn:Tag . + +"llama"^^xsd:string a conn:Tag . + +"sentence-similarity" a conn:Problem ; + conn:hasCoverTag "nlp" . + +"zero-shot-image-classification" a conn:Problem ; + conn:hasCoverTag "cv" . + +"stable-diffusion-diffusers"^^xsd:string a conn:Tag . + +"zero-shot-image-classification"^^xsd:string a conn:Tag . + +"speecht5"^^xsd:string a conn:Tag . + +"xlm-roberta"^^xsd:string a conn:Tag . + +"ML-Agents-Huggy"^^xsd:string a conn:Tag . + +"image-to-text" a conn:Problem ; + conn:hasCoverTag "cv" . + +"detr"^^xsd:string a conn:Tag . + +"image-to-text"^^xsd:string a conn:Tag . + +"vits"^^xsd:string a conn:Tag . + +"custom_code"^^xsd:string a conn:Tag . + +"diffusers:StableDiffusionPipeline"^^xsd:string a conn:Tag . + +"text2text-generation" a conn:Problem ; + conn:hasCoverTag "nlp" . + +"license:creativeml-openrail-m"^^xsd:string a conn:Tag . + +"dataset:imagenet-1k"^^xsd:string a conn:Tag . + +"audio"^^xsd:string a conn:Tag . + +"image-segmentation" a conn:Problem ; + conn:hasCoverTag "cv" . + +"image-segmentation"^^xsd:string a conn:Tag . + +"arxiv:1910.09700"^^xsd:string a conn:Tag . + +"timm"^^xsd:string a conn:Tag . + +"timm" a conn:Library . + +"marian"^^xsd:string a conn:Tag . + +"wav2vec2"^^xsd:string a conn:Tag . + +"videomae"^^xsd:string a conn:Tag . + +"roberta"^^xsd:string a conn:Tag . + +"multimodal" a conn:CoverTag . + +"sail-rvc"^^xsd:string a conn:Tag . + +"rvc"^^xsd:string a conn:Tag . + +"text-generation" a conn:Problem ; + conn:hasCoverTag "nlp" . + +"text-embeddings-inference"^^xsd:string a conn:Tag . + +"ml-agents" a conn:Library . + +"ml-agents"^^xsd:string a conn:Tag . + +"diffusion-models-class"^^xsd:string a conn:Tag . + +"sentence-transformers" a conn:Library . + +"feature-extraction" a conn:Problem ; + conn:hasCoverTag "nlp" . + +"diffusers:DDPMPipeline"^^xsd:string a conn:Tag . + +"fill-mask" a conn:Problem ; + conn:hasCoverTag "nlp" . + +"summarization" a conn:Problem ; + conn:hasCoverTag "nlp" . + 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zMw@|qxPo@Z-4fh1xVGaMk(h57&BlO|=2O~uEtQluV_%&@t-Cb;tc_2m7G0aKY2%Y9 zt6TGVhB}N-Oz@e_M$U#4bporFX$es6=f8>bhrMS#_#suh{gPclcF~6~`mdZw^ z?X<3G$;W|*o)EaxpRhQa;kuzKY90!fGX|4@S{mkL<>HS67|Kui0LC{=|3Eo_Y5YDh zD~%nbfI&|P@CBJUbW2h5WU9I + SELECT ?coverTag + WHERE { + ?coverTag a conn:CoverTag . + } + """ + results = graph.query(query) + cover_tags = [row[0] for row in results] + return cover_tags + +def get_problems(graph): + query = """ + PREFIX conn: + SELECT ?problem + WHERE { + ?problem a conn:Problem . + } + """ + results = graph.query(query) + problems = [row[0] for row in results] + return problems + +def get_problems_for_cover_tag(graph, cover_tag_literal_text): + cover_tag_literal = Literal(cover_tag_literal_text, datatype=XSD.string) + + query = """ + PREFIX conn: + PREFIX problem: + PREFIX tag: + SELECT ?problem + WHERE { + ?problem a conn:Problem . + ?problem conn:hasCoverTag ?coverTag . + FILTER (?coverTag = ?cover_tag_literal) + } + """ + + results = graph.query(query, initBindings={'cover_tag_literal': cover_tag_literal}) + problems = [row[0] for row in results] + return problems + +def get_models_for_problem(graph, problem_literal_text): + problem_literal = Literal(problem_literal_text, datatype=XSD.string) + + query = """ + PREFIX conn: + PREFIX model: + SELECT ?model ?downloads + WHERE { + ?model a conn:Model . + ?model conn:hasProblem ?problem . + ?model conn:downloads ?downloads . + FILTER (?problem = ?problem_literal) + } + ORDER BY DESC(?downloads) + """ + + results = graph.query(query, initBindings={'problem_literal': problem_literal}) + models = [(row[0], row[1]) for row in results] + return models + +def get_model_details(graph, model_name): + model_literal = Literal(model_name, datatype=XSD.string) + + query = """ + PREFIX conn: + PREFIX model: + PREFIX xsd: + SELECT ?model ?id ?name ?problem ?coverTag ?library ?downloads ?likes ?lastModified + WHERE { + ?model a conn:Model . + ?model conn:model_name ?name . + ?model conn:model_id ?id . + ?model conn:hasProblem ?problem . + ?model conn:hasCoverTag ?coverTag . + ?model conn:usesLibrary ?library . + ?model conn:downloads ?downloads . + ?model conn:likes ?likes . + ?model conn:lastModified ?lastModified . + FILTER (?name = ?model_literal) + } + """ + + results = graph.query(query, initBindings={'model_literal': model_literal}) + details = {} + for row in results: + details = { + 'model_uri': row[0], + 'id': row[1], + 'name': row[2], + 'problem': row[3], + 'coverTag': row[4], + 'library': row[5], + 'downloads': row[6], + 'likes': row[7], + 'lastModified': row[8] + } + return details + +def print_results(literals, label): + print(f"List of available {label}:") + for literal in literals: + print(literal) + print() + +def print_models(models): + print("Models ordered by downloads:") + for model, downloads in models: + print(f"Model: {model}, Downloads: {downloads}") + print() + +def print_model_details(details): + print("Model details:") + for key, value in details.items(): + print(f"{key}: {value}") + print() + + +if __name__ == "__main__": + graph = load_graph("graph.ttl") + + # Get Modality (Cover Tags) + cover_tags = get_cover_tags(graph) + print_results(cover_tags, "cover tags") + + # Get Problem List + problems = get_problems(graph) + print_results(problems, "problems") + + cover_tag = "audio" + problems = get_problems_for_cover_tag(graph, cover_tag) + print_results(problems, "problems connected to the cover tag") + + # Get Model by Problem to solve + problem_literal_text = "image-to-text" + models = get_models_for_problem(graph, problem_literal_text) + print_models(models) + + # Get Model Details (Example) + model_name = "OleehyO/TexTeller" + model_details = get_model_details(graph, model_name) + print_model_details(model_details) diff --git a/Hugging2Graph/sql2graph.py b/Hugging2Graph/sql2graph.py new file mode 100644 index 0000000..f530bb2 --- /dev/null +++ b/Hugging2Graph/sql2graph.py @@ -0,0 +1,89 @@ +import sqlite3 +from rdflib import Graph, Literal, Namespace, RDF +from rdflib.namespace import XSD +import ast + +# Namespaces +CONN = Namespace("http://example.org/conn/") +MODEL = Namespace("http://example.org/model/") +PROBLEM = Namespace("http://example.org/problem/") +TAG = Namespace("http://example.org/tag/") +LIBRARY = Namespace("http://example.org/library/") + +# Extract Tags from Stringified List +allowed_tags = set() +with open('topTags.txt', 'r', encoding='utf-8') as file: + for line in file: + tag = line.strip() + if tag: + allowed_tags.add(tag) + +conn = sqlite3.connect('huggingface.db') +cursor = conn.cursor() +cursor.execute("SELECT * FROM Models") +rows = cursor.fetchall() + +g = Graph() + +# Namespaces +g.bind("conn", CONN) +g.bind("model", MODEL) +g.bind("problem", PROBLEM) +g.bind("tag", TAG) +g.bind("library", LIBRARY) + +# Add triples to the graph +for row in rows: + model_id = row[0] + model_name = row[1] + problem = row[2] + tags = row[3] + coverTag = row[4] + library = row[5] + downloads = row[6] + likes = row[7] + lastModified = row[8] + + # Literals for string based KG + model_node = Literal(model_name) + problem_node = Literal(problem) + coverTag_node = Literal(coverTag) + library_node = Literal(library) + + # Add Types + g.add((model_node, RDF.type, CONN.Model)) + g.add((problem_node, RDF.type, CONN.Problem)) + g.add((coverTag_node, RDF.type, CONN.CoverTag)) + g.add((library_node, RDF.type, CONN.Library)) + + # Add Model Details + g.add((model_node, CONN.model_name, Literal(model_name, datatype=XSD.string))) + g.add((model_node, CONN.model_id, Literal(model_id, datatype=XSD.string))) + g.add((model_node, CONN.downloads, Literal(downloads, datatype=XSD.integer))) + g.add((model_node, CONN.likes, Literal(likes, datatype=XSD.integer))) + g.add((model_node, CONN.lastModified, Literal(lastModified, datatype=XSD.dateTime))) + + # Relationships + g.add((model_node, CONN.hasProblem, problem_node)) + g.add((model_node, CONN.hasCoverTag, coverTag_node)) + g.add((model_node, CONN.usesLibrary, library_node)) + g.add((problem_node, CONN.hasCoverTag, coverTag_node)) + + try: + tags_list = ast.literal_eval(tags) + if isinstance(tags_list, list): + for tag in tags_list: + tag = tag.strip() + if tag in allowed_tags: + tag_literal = Literal(tag, datatype=XSD.string) + g.add((model_node, CONN.hasTag, tag_literal)) + g.add((tag_literal, RDF.type, CONN.Tag)) + else: + print(f"Tags for model {model_name} are not in a list format") + except Exception as e: + print(f"Error parsing tags for model {model_name}: {e}") + +# TO FILE +g.serialize("graph.ttl", format="turtle") + +conn.close() diff --git a/Hugging2Graph/tagExtractor.py b/Hugging2Graph/tagExtractor.py new file mode 100644 index 0000000..9506951 --- /dev/null +++ b/Hugging2Graph/tagExtractor.py @@ -0,0 +1,44 @@ +import sqlite3 +import ast +from collections import Counter + + +conn = sqlite3.connect('huggingface.db') +cursor = conn.cursor() +cursor.execute('SELECT tags FROM Models') +rows = cursor.fetchall() + +tag_counter = Counter() + +for id,row in enumerate(rows): + try: + tags_str = row[0] + tags = ast.literal_eval(tags_str) + + if isinstance(tags, list): + tag_counter.update(tags) + else: + print(f"Unexpected format, not a list: {tags_str}") + except (ValueError, SyntaxError, UnicodeEncodeError) as e: + # Some Strings are broken from Huggingface + print(f"Error encountered, skipping row: {e}") + print(row) +conn.close() + +ranked_tags = tag_counter.most_common() + + +def safe_format(tag, count): + try: + # return f"{tag}; {count}".encode('utf-8', errors='replace').decode('utf-8') + return f"{tag}".encode('utf-8', errors='replace').decode('utf-8') + except UnicodeEncodeError: + return f"Encoding error for tag {tag}: {count}" + + +output_file = 'topTags.txt' +occurence = 50 +with open(output_file, 'w', encoding='utf-8') as file: + for tag, count in ranked_tags: + if count >=occurence and len(tag)>2: + file.write(safe_format(tag, count) + '\n') \ No newline at end of file diff --git a/Hugging2Graph/topTags.txt b/Hugging2Graph/topTags.txt new file mode 100644 index 0000000..311d861 --- /dev/null +++ b/Hugging2Graph/topTags.txt @@ -0,0 +1,267 @@ +region:us +endpoints_compatible +transformers +pytorch +safetensors +autotrain_compatible +license:apache-2.0 +tensorboard +license:mit +generated_from_trainer +text2text-generation +diffusers +bert +model-index +text-generation-inference +feature-extraction +onnx +license:cc-by-nc-4.0 +text-generation +text-classification +vision +text-to-audio +jax +text-to-image +license:other +sentence-similarity +fill-mask +image-classification +automatic-speech-recognition +token-classification +object-detection +reinforcement-learning +audio-classification +unconditional-image-generation +translation +audio-to-audio +text-to-speech +question-answering +summarization +video-classification +stable-diffusion +deep-reinforcement-learning +sentence-transformers +diffusers:DDPMPipeline +diffusion-models-class +ml-agents +text-embeddings-inference +rvc +sail-rvc +roberta +videomae +wav2vec2 +marian +timm +arxiv:1910.09700 +image-segmentation +audio +dataset:imagenet-1k +license:creativeml-openrail-m +diffusers:StableDiffusionPipeline +custom_code +vits +image-to-text +detr +ML-Agents-Huggy +xlm-roberta +speecht5 +zero-shot-image-classification +stable-diffusion-diffusers +llama +whisper +mms +arxiv:2305.13516 +multilingual +license:cc-by-4.0 +segformer +clip +image-text-to-text +zero-shot-classification +unity-ml-agents +visual-question-answering +distilbert +image-to-image +conversational +bart +Huggy +hubert +transformers.js +speech +image-feature-extraction +base_model:MCG-NJU/videomae-base +base_model:microsoft/speecht5_tts +mteb +gguf +arxiv:2010.11929 +tabular-classification +diffusers:StableDiffusionXLPipeline +dataset:marsyas/gtzan +co2_eq_emissions +vision-encoder-decoder +hf-asr-leaderboard +deberta-v2 +license:bsd-3-clause +autotrain +arxiv:1908.10084 +pretraining +mt5 +art +stable-diffusion-xl +license:cc-by-sa-4.0 +license:cc-by-nc-sa-4.0 +mistral +open_clip +document-question-answering +image-captioning +license:openrail +license:gemma +ML-Agents-SnowballTarget +audio-spectrogram-transformer +dataset:wikipedia +vit +dataset:facebook/voxpopuli +sklearn +espnet +ML-Agents-SoccerTwos +arxiv:2303.15343 +layoutlmv2 +base_model:stabilityai/stable-diffusion-xl-base-1.0 +code +arxiv:1908.04913 +arxiv:1804.00015 +paligemma +medical +lora +anime +arxiv:2209.06794 +dataset:squad +mask-generation +dataset:common_voice +yolo +4-bit +base_model:nvidia/mit-b0 +SnowballTarget +sam +blip +table-transformer +arxiv:1905.13648 +arxiv:1706.03762 +arxiv:2103.01913 +arxiv:2310.09199 +arxiv:2403.08295 +arxiv:2209.04372 +arxiv:2205.12522 +arxiv:2110.11624 +arxiv:2108.03353 +arxiv:2010.04295 +arxiv:2401.06209 +arxiv:2305.10355 +arxiv:2203.10244 +arxiv:1810.12440 +arxiv:1608.00272 +joblib +arxiv:2407.07726 +ceb +biology +dataset:mozilla-foundation/common_voice_11_0 +llava +controlnet +electra +gpt2 +yolos +albert +skops +whisper-event +dataset:voxpopuli +rust +vilt +depth-estimation +arxiv:1512.03385 +camembert +table-question-answering +text-to-video +tabular-regression +base_model:ntu-spml/distilhubert +license:gpl-3.0 +blip-2 +haw +mpnet +dataset:imagenet-22k +license:openrail++ +generated_from_keras_callback +dataset:imagenet-21k +ultralytics +xlsr-fine-tuning-week +yolov8 +ultra-realistic +dataset:squad_v2 +ultralyticsplus +base_model:facebook/detr-resnet-50 +stable-diffusion-api +arxiv:2110.00476 +adapter-transformers +mbart +arxiv:2103.00020 +arxiv:2201.03545 +license:llama2 +dataset:superb +fairseq +vivit +dataset:multi_nli +classification +tabular +deberta +base_model:finetune:microsoft/speecht5_tts +pony +tf-keras +dataset:coco +base_model:runwayml/stable-diffusion-v1-5 +arxiv:1705.00652 +peft +loss:MultipleNegativesRankingLoss +Anime +bitsandbytes +unk +ner +PyTorch +base_model:finetune:MCG-NJU/videomae-base +license:llama3 +pegasus +robust-speech-event +template:sd-lora +stable-baselines3 +arxiv:1910.10683 +speechbrain +base_model:openai/whisper-small +timesformer +arxiv:1907.11692 +Transformer +arxiv:1810.04805 +license:unknown +nso +arxiv:2112.10752 +spacy +qwen2 +nemo +fon +dataset:imagefolder +awesome-yolov8-models +big_vision +llama-2 +facebook +dataset:cnn_dailymail +ML-Agents-Pyramids +war +yue +sequence-tagger-model +flair +chemistry +quantized +dataset:Lin-Chen/ShareGPT4V +license:agpl-3.0 +base_model:MCG-NJU/videomae-base-finetuned-kinetics +exbert +gpt_neox +hmn +longt5 +arxiv:2302.05543

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