Instructions to use Novaciano/FitGay-1B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Novaciano/FitGay-1B with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Novaciano/FitGay-1B", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f0fd8720548c50ea7e49967d7a1d1ee56777d316c119e318ee45f219e8182c0a
- Size of remote file:
- 33.4 MB
- SHA256:
- d786405177734910d7a3db625c2826640964a0b4e5cdbbd70620ae3313a01bef
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.