Instructions to use delsj/function-gemma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use delsj/function-gemma with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("delsj/function-gemma", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer.json from delsj/function-gemma: direct link, hf CLI and curl.
- Browser
- Download file 33.4 MB
-
https://huggingface.co/delsj/function-gemma/resolve/main/tokenizer.json
- Command line
-
hf download hf://delsj/function-gemma/tokenizer.json
-
curl -L -o tokenizer.json https://huggingface.co/delsj/function-gemma/resolve/main/tokenizer.json
33.4 MB
- Xet hash:
- c3f6b8e2c55a57217a6f52ca3d1b18ba55b892111c045934db95dd03120dbbc9
- Size of remote file:
- 33.4 MB
- SHA256:
- b6b09a0b4a803ad453063ca4bb49a784540e8120004e2450e025df2b27d41fb2
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