Instructions to use stdlogits/drowse-web-gemma3-270m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use stdlogits/drowse-web-gemma3-270m 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-gemma3-270m: direct link, hf CLI and curl.
- Browser
- Download file 22.1 MB
-
https://huggingface.co/stdlogits/drowse-web-gemma3-270m/resolve/main/model.wasm
- Command line
-
hf download hf://stdlogits/drowse-web-gemma3-270m/model.wasm
-
curl -L -o model.wasm https://huggingface.co/stdlogits/drowse-web-gemma3-270m/resolve/main/model.wasm
22.1 MB
- Xet hash:
- 1e24b82036a889027e687300ba4b2a7d6f25df153baafff0aabdfbda29fd8eb3
- Size of remote file:
- 22.1 MB
- SHA256:
- 56dfbad7b5a1614084baa585eba3d0d4e9b5aac96839865f345ec3c0538e1aac
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