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 from Steven10429/laya-multilingual-webgpu: direct link, hf CLI and curl.
- Browser
- Download file 2.48 MB
-
https://huggingface.co/Steven10429/laya-multilingual-webgpu/resolve/main/encoder.onnx
- Command line
-
hf download hf://Steven10429/laya-multilingual-webgpu/encoder.onnx
-
curl -L -o encoder.onnx https://huggingface.co/Steven10429/laya-multilingual-webgpu/resolve/main/encoder.onnx
2.48 MB
- Xet hash:
- 57ee4393e4a7219cf7742fd2b31d462d6777aeeb8f691c2bc8520fdce4e0d771
- Size of remote file:
- 2.48 MB
- SHA256:
- 0ddc6a18596cc1d1ca86c004eda65792f7a5c314ac46fade092a4be3ac214269
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