Instructions to use stdlogits/drowse-web-gemma3-270m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use stdlogits/drowse-web-gemma3-270m 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-gemma3-270m: direct link, hf CLI and curl.
- Browser
- Download file 33.4 MB
-
https://huggingface.co/stdlogits/drowse-web-gemma3-270m/resolve/main/params_shard_7.bin
- Command line
-
hf download hf://stdlogits/drowse-web-gemma3-270m/params_shard_7.bin
-
curl -L -o params_shard_7.bin https://huggingface.co/stdlogits/drowse-web-gemma3-270m/resolve/main/params_shard_7.bin
33.4 MB
- Xet hash:
- 824dab878940fb8edc090bbb1004043be4bf48308e760d99b547c7b855014530
- Size of remote file:
- 33.4 MB
- SHA256:
- c1dac8c7391778b06d0529b784cb9eaec688fdae6c9e62e360bf7747b5aca5ec
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