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_32.bin from stdlogits/drowse-web-gemma3-4b: direct link, hf CLI and curl.
- Browser
- Download file 32.8 MB
-
https://huggingface.co/stdlogits/drowse-web-gemma3-4b/resolve/main/params_shard_32.bin
- Command line
-
hf download hf://stdlogits/drowse-web-gemma3-4b/params_shard_32.bin
-
curl -L -o params_shard_32.bin https://huggingface.co/stdlogits/drowse-web-gemma3-4b/resolve/main/params_shard_32.bin
32.8 MB
- Xet hash:
- 72a14223a2c8f804d6c540dc5fbb683db6d8ad6353de587657f0d64b598c960e
- Size of remote file:
- 32.8 MB
- SHA256:
- d1f025eca56e181453fe3a3f02678267655014dad1682d7f3e5bd5c9413cef75
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