Instructions to use stdlogits/drowse-web-gemma3-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use stdlogits/drowse-web-gemma3-4b 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_33.bin from stdlogits/drowse-web-gemma3-4b: direct link, hf CLI and curl.
- Browser
- Download file 26.2 MB
-
https://huggingface.co/stdlogits/drowse-web-gemma3-4b/resolve/main/params_shard_33.bin
- Command line
-
hf download hf://stdlogits/drowse-web-gemma3-4b/params_shard_33.bin
-
curl -L -o params_shard_33.bin https://huggingface.co/stdlogits/drowse-web-gemma3-4b/resolve/main/params_shard_33.bin
26.2 MB
- Xet hash:
- 7ced6fe3a2e2989229fee38223f70d51ac0117c104ffd0de611faaac1c687563
- Size of remote file:
- 26.2 MB
- SHA256:
- ed0927c3420bd99f48270d606992f6911ee167d15e3c4b21c69f0c622a7fe2f3
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