Instructions to use stdlogits/drowse-web-gemma3-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use stdlogits/drowse-web-gemma3-1b with MLC-LLM:
# 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 model.wasm from stdlogits/drowse-web-gemma3-1b: direct link, hf CLI and curl.
- Browser
- Download file 30 MB
-
https://huggingface.co/stdlogits/drowse-web-gemma3-1b/resolve/main/model.wasm
- Command line
-
hf download hf://stdlogits/drowse-web-gemma3-1b/model.wasm
-
curl -L -o model.wasm https://huggingface.co/stdlogits/drowse-web-gemma3-1b/resolve/main/model.wasm
30 MB
- Xet hash:
- e862ce51c61038205ffde88e4ab3f1f18100101e99513cbcd887391a7f2e07b0
- Size of remote file:
- 30 MB
- SHA256:
- 130ce552350c3c42459c1f2b4edd5b5992f91f42b2c3911b98a4a39bd4fc0095
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