* Add the mimi audio-tokenizer.
* Formatting tweaks.
* Add a full example.
* Use the transformers names.
* More renamings.
* Get encoding and decoding to work.
* Clippy fixes.
* Start sketching parler-tts support.
* Implement the attention.
* Add the example code.
* Fix the example.
* Add the description + t5 encode it.
* More of the parler forward pass.
* Fix the positional embeddings.
* Support random sampling in generation.
* Handle EOS.
* Add the python decoder.
* Proper causality mask.
* [Whisper] Update to use quantized model
* [whisper] add language detection
* [whisper] change assets location
* [whisper] adapt js example with quantized models
* [whisper] better task parsing
* [whisper] minor fixes
* return detections with classes names
* ignore .DS_Store
* example how to load wasm module
* add param to set model size
* add param for model size
* accept iou and confidence threshold on run
* conf and iou thresholds
* clamp only
* remove images from branch
* a couple of renamings, add readme with instructions
* final design
* minor font + border update
* Sketch the yolo wasm example.
* Web ui.
* Get the web ui to work.
* UI tweaks.
* More UI tweaks.
* Use the natural width/height.
* Add a link to the hf space in the readme.
* Use contiguous tensors for variables.
* Sketch the mnist example.
* Start adding the reduce ops.
* Renaming.
* Refactor the reduce operations.
* Bugfix for the broadcasting vectorization.
* Whisper example in wasm.
* Load the model.
* Get the whisper demo to work (though slowly).
* Polish the UI a bit.
* Minor tweak.
* More UI.
* Add the progress bar.
Laurent Mazare