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 params_shard_13.bin from stdlogits/drowse-web-gemma3-270m: direct link, hf CLI and curl.
- Browser
- Download file 5.9 MB
-
https://huggingface.co/stdlogits/drowse-web-gemma3-270m/resolve/main/params_shard_13.bin
- Command line
-
hf download hf://stdlogits/drowse-web-gemma3-270m/params_shard_13.bin
-
curl -L -o params_shard_13.bin https://huggingface.co/stdlogits/drowse-web-gemma3-270m/resolve/main/params_shard_13.bin
5.9 MB
- Xet hash:
- f531551eff1fa87b51ba5691b075e31e5b106361a30f4945b5b4dd53ff650b70
- Size of remote file:
- 5.9 MB
- SHA256:
- 66e4c885480cda3fd6e6f1dc8a134d7f628a3d38af36c2d70655b23fad7a837d
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