Instructions to use Saad4web/function-gemma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Saad4web/function-gemma with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Saad4web/function-gemma", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Saad4web/function-gemma: direct link, hf CLI and curl.
- Browser
- Download file 5.71 kB
-
https://huggingface.co/Saad4web/function-gemma/resolve/main/training_args.bin
- Command line
-
hf download hf://Saad4web/function-gemma/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Saad4web/function-gemma/resolve/main/training_args.bin
5.71 kB
- Xet hash:
- 57f3fe66b6fd4f96506fa9e19906786f8bfee26835eda9d126c10c0842a34092
- Size of remote file:
- 5.71 kB
- SHA256:
- 00789a59a2c04391af92eaf70d0eb58d2e5ec00218210ab09270b03dd763f14a
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