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 tokenizer.json from stdlogits/drowse-web-gemma3-1b-pt: direct link, hf CLI and curl.
- Browser
- Download file 33.4 MB
-
https://huggingface.co/stdlogits/drowse-web-gemma3-1b-pt/resolve/main/tokenizer.json
- Command line
-
hf download hf://stdlogits/drowse-web-gemma3-1b-pt/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/stdlogits/drowse-web-gemma3-1b-pt/resolve/main/tokenizer.json
33.4 MB
- Xet hash:
- 496b40792704534f01e0d0ff91ceea3114c9e7b389e5b286d554c5e4636ff4ba
- Size of remote file:
- 33.4 MB
- SHA256:
- 7d4046bf0505a327dd5a0abbb427ecd4fc82f99c2ceaa170bc61ecde12809b0c
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