Instructions to use transZ/tforge_2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use transZ/tforge_2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("transZ/tforge_2", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0e030510648437f7939c9619b3bbd756b6b158e41ffc4efcdbbe8fc415a83250
- Size of remote file:
- 312 MB
- SHA256:
- 7fc0e2a31ea499a0f68e376819987ee30bb62515395b4f58a350240a6e1c9108
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.