Instructions to use stdlogits/drowse-web-gemma3-4b with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLC-LLM
How to use stdlogits/drowse-web-gemma3-4b 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_11.bin from stdlogits/drowse-web-gemma3-4b: direct link, hf CLI and curl.
- Browser
- Download file 26.9 MB
-
https://huggingface.co/stdlogits/drowse-web-gemma3-4b/resolve/main/params_shard_11.bin
- Command line
-
hf download hf://stdlogits/drowse-web-gemma3-4b/params_shard_11.bin
-
curl -L -o params_shard_11.bin https://huggingface.co/stdlogits/drowse-web-gemma3-4b/resolve/main/params_shard_11.bin
26.9 MB
- Xet hash:
- e05b5c4200ac57144b0ea6ef08c74c076ebdd67c1cc15e39e25066abf0cfab37
- Size of remote file:
- 26.9 MB
- SHA256:
- 44afac5139d1d6c21b53b7d5578072017e9500528bb7ccba86ff4bb97979ba31
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.