Instructions to use stdlogits/drowse-web-gemma3-1b-pt 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-pt 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_9.bin from stdlogits/drowse-web-gemma3-1b-pt: direct link, hf CLI and curl.
- Browser
- Download file 30.2 MB
-
https://huggingface.co/stdlogits/drowse-web-gemma3-1b-pt/resolve/main/params_shard_9.bin
- Command line
-
hf download hf://stdlogits/drowse-web-gemma3-1b-pt/params_shard_9.bin
-
curl -L -o params_shard_9.bin https://huggingface.co/stdlogits/drowse-web-gemma3-1b-pt/resolve/main/params_shard_9.bin
30.2 MB
- Xet hash:
- a44218a3e6428b374fe793e3e613d24b0d19ac3cf48adebcf5846d833b349cff
- Size of remote file:
- 30.2 MB
- SHA256:
- 3dba2c001dfb39f927dff264f2c9e30504beec013ad9b412c46181187a338846
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