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 head.onnx.data from Steven10429/laya-multilingual-webgpu: direct link, hf CLI and curl.
- Browser
- Download file 59.9 MB
-
https://huggingface.co/Steven10429/laya-multilingual-webgpu/resolve/main/head.onnx.data
- Command line
-
hf download hf://Steven10429/laya-multilingual-webgpu/head.onnx.data
-
curl -L -o head.onnx.data https://huggingface.co/Steven10429/laya-multilingual-webgpu/resolve/main/head.onnx.data
59.9 MB
- Xet hash:
- ff944dc9b655c8a0d0753bd95c5a53b186b54c8a9de7910a55e5fddcdab8837c
- Size of remote file:
- 59.9 MB
- SHA256:
- 0292a4eb478c2c3ec0b6555b4a4093bc802e965654d7aeb4ac22907a17f261d3
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