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_7.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_7.bin
- Command line
-
hf download hf://stdlogits/drowse-web-gemma3-1b/params_shard_7.bin
-
curl -L -o params_shard_7.bin https://huggingface.co/stdlogits/drowse-web-gemma3-1b/resolve/main/params_shard_7.bin
33.6 MB
- Xet hash:
- eea3d2843516220de1c0600e3202205369373b58b7e54fd002312dc55d8329bb
- Size of remote file:
- 33.6 MB
- SHA256:
- 8ad424dfe323e120c1fedf4ba19aeb9ec5a735d33c5878dcbf048fd4e149c990
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