Instructions to use Eljaja/ha-functiongemma-270m-it with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Eljaja/ha-functiongemma-270m-it with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Eljaja/ha-functiongemma-270m-it", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from Eljaja/ha-functiongemma-270m-it: direct link, hf CLI and curl.
- Browser
- Download file 5.3 kB
-
https://huggingface.co/Eljaja/ha-functiongemma-270m-it/resolve/main/training_args.bin
- Command line
-
hf download hf://Eljaja/ha-functiongemma-270m-it/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/Eljaja/ha-functiongemma-270m-it/resolve/main/training_args.bin
5.3 kB
- Xet hash:
- a6c30cd5b1e66a02bed24998ea68c777921abe9ed118c3f6320724d72c44664e
- Size of remote file:
- 5.3 kB
- SHA256:
- 74283f16105e4a968b7f46ae7074d86ad86366a2c8254f6c9fcff4984d17f113
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