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Update the wasm example locations in the readme. (#306)

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Laurent Mazare 2023-08-02 11:36:43 +01:00 committed by GitHub
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@ -1,5 +1,12 @@
# candle # candle
ML framework for Rust [![Latest version](https://img.shields.io/crates/v/candle-core.svg)](https://crates.io/crates/candle-core)
[![Documentation](https://docs.rs/candle-core/badge.svg)](https://docs.rs/candle-core)
![License](https://img.shields.io/crates/l/candle-core.svg)
Candle is a minimalist ML framework for Rust with a focus on easiness of use and
on performance (including GPU support). Try our online demos:
[whisper](https://huggingface.co/spaces/lmz/candle-whisper),
[llama2](https://huggingface.co/spaces/lmz/candle-llama2).
```rust ```rust
let a = Tensor::randn(0f32, 1., (2, 3), &Device::Cpu)?; let a = Tensor::randn(0f32, 1., (2, 3), &Device::Cpu)?;
@ -34,8 +41,8 @@ In order to use **CUDA** add `--features cuda` to the example command line.
There are also some wasm examples for whisper and There are also some wasm examples for whisper and
[llama2.c](https://github.com/karpathy/llama2.c). You can either build them with [llama2.c](https://github.com/karpathy/llama2.c). You can either build them with
`trunk` or try them online: `trunk` or try them online:
[whisper](https://laurentmazare.github.io/candle-whisper/index.html), [whisper](https://huggingface.co/spaces/lmz/candle-whisper),
[llama2](https://laurentmazare.github.io/candle-llama2/index.html). [llama2](https://huggingface.co/spaces/lmz/candle-llama2).
For llama2, run the following command to retrieve the weight files and start a For llama2, run the following command to retrieve the weight files and start a
test server: test server: