Instructions to use zera09/gemma with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zera09/gemma with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("zera09/gemma", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from zera09/gemma: direct link, hf CLI and curl.
- Browser
- Download file 5.56 kB
-
https://huggingface.co/zera09/gemma/resolve/main/training_args.bin
- Command line
-
hf download hf://zera09/gemma/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/zera09/gemma/resolve/main/training_args.bin
5.56 kB
- Xet hash:
- 04629b88f531a56e30c6a05fbd71949e201583eb4f9bfa95fb3e0a3e1c8ffc04
- Size of remote file:
- 5.56 kB
- SHA256:
- 9af4f90b208aee2fa3f2a6ad48a03484805a6ca3de6a7b78f11c26abd91fe62a
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