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_11.bin from stdlogits/drowse-web-gemma3-270m: direct link, hf CLI and curl.
- Browser
- Download file 33.4 MB
-
https://huggingface.co/stdlogits/drowse-web-gemma3-270m/resolve/main/params_shard_11.bin
- Command line
-
hf download hf://stdlogits/drowse-web-gemma3-270m/params_shard_11.bin
-
curl -L -o params_shard_11.bin https://huggingface.co/stdlogits/drowse-web-gemma3-270m/resolve/main/params_shard_11.bin
33.4 MB
- Xet hash:
- 0d64fd27c70a6eccf6a81edaa55067c36cb7b999a8ccdc977b1c0f4576a7290a
- Size of remote file:
- 33.4 MB
- SHA256:
- fda9f4e892b56e8b386d4760595cfcbc15b67b4561f3b8810158697868f86c1e
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