Instructions to use TGoddessana/commandgemma-adapters with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use TGoddessana/commandgemma-adapters with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("TGoddessana/commandgemma-adapters", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download training_args.bin from TGoddessana/commandgemma-adapters: direct link, hf CLI and curl.
- Browser
- Download file 6.29 kB
-
https://huggingface.co/TGoddessana/commandgemma-adapters/resolve/main/training_args.bin
- Command line
-
hf download hf://TGoddessana/commandgemma-adapters/training_args.bin
-
curl -L -o training_args.bin https://huggingface.co/TGoddessana/commandgemma-adapters/resolve/main/training_args.bin
6.29 kB
- Xet hash:
- b380a561e00c124d0b6ebd8b6387f0cef4d6942f2a8c0e4fb5c0575440caa4d1
- Size of remote file:
- 6.29 kB
- SHA256:
- 224c990dadc14c7ce3bf7394e2d18fff437c9f39551be6736b32c4d5ff06f003
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