Instructions to use stdlogits/drowse-web-gemma3-1b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use stdlogits/drowse-web-gemma3-1b 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_4.bin from stdlogits/drowse-web-gemma3-1b: direct link, hf CLI and curl.
- Browser
- Download file 33.6 MB
-
https://huggingface.co/stdlogits/drowse-web-gemma3-1b/resolve/main/params_shard_4.bin
- Command line
-
hf download hf://stdlogits/drowse-web-gemma3-1b/params_shard_4.bin
-
curl -L -o params_shard_4.bin https://huggingface.co/stdlogits/drowse-web-gemma3-1b/resolve/main/params_shard_4.bin
33.6 MB
- Xet hash:
- 66c7a10cf7b4244338d9b461a80b118c52ee769132d5e0c44bc783f9c0fbfbef
- Size of remote file:
- 33.6 MB
- SHA256:
- e1f3609c5bae5d4379ee1f5d5e556c20068060feb06baed12779811e23d23270
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