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_18.bin from stdlogits/drowse-web-gemma3-4b: direct link, hf CLI and curl.
- Browser
- Download file 28.4 MB
-
https://huggingface.co/stdlogits/drowse-web-gemma3-4b/resolve/main/params_shard_18.bin
- Command line
-
hf download hf://stdlogits/drowse-web-gemma3-4b/params_shard_18.bin
-
curl -L -o params_shard_18.bin https://huggingface.co/stdlogits/drowse-web-gemma3-4b/resolve/main/params_shard_18.bin
28.4 MB
- Xet hash:
- 6aef8dafd2cd286e3e89bf18e6652f672e7bcc0e0d2a7c933a7719bca3ff5c41
- Size of remote file:
- 28.4 MB
- SHA256:
- 7fcfb04d50a84099b681136b2fe6072bfaf27586515b497e956d135e6054ceed
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