Instructions to use Steven10429/laya-multilingual-webgpu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Laya
How to use Steven10429/laya-multilingual-webgpu with Laya:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Download encoder.onnx.data from Steven10429/laya-multilingual-webgpu: direct link, hf CLI and curl.
- Browser
- Download file 1.23 GB
-
https://huggingface.co/Steven10429/laya-multilingual-webgpu/resolve/main/encoder.onnx.data
- Command line
-
hf download hf://Steven10429/laya-multilingual-webgpu/encoder.onnx.data
-
curl -L -o encoder.onnx.data https://huggingface.co/Steven10429/laya-multilingual-webgpu/resolve/main/encoder.onnx.data
1.23 GB
- Xet hash:
- 8af806b864043aafc0db7ba8ce18fe0b5a19e2944a128d36876219ce1a5e24a5
- Size of remote file:
- 1.23 GB
- SHA256:
- f1e49a027352064d72831863456be6160748854296bff8332df14130dbf79834
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