Instructions to use ortrsa/gemma2_fine_tune with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ortrsa/gemma2_fine_tune with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ortrsa/gemma2_fine_tune", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Unsloth Desktop
- Xet hash:
- a661a57ca667ee1f6f5a1362ca2a1787845436b123f4cbd31dd70bfc8f8096ab
- Size of remote file:
- 216 MB
- SHA256:
- f97b8352b9cb128f0d1d0fa2ee73d679e7cc1f8794d70d1abfafc46b7fcc23c1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.