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_8.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_8.bin
- Command line
-
hf download hf://stdlogits/drowse-web-gemma3-1b-pt/params_shard_8.bin
-
curl -L -o params_shard_8.bin https://huggingface.co/stdlogits/drowse-web-gemma3-1b-pt/resolve/main/params_shard_8.bin
30.2 MB
- Xet hash:
- d9cc4638dab959b86ff44f7bd375e62fb5b77dce79c15feddc70c0f27281822b
- Size of remote file:
- 30.2 MB
- SHA256:
- 0fbf1e989b82ed1dce1f425241af37826d0574d3ed1ff29a491d1d4873cb8f16
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