Instructions to use Ruiyang77/output_v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ruiyang77/output_v1 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ruiyang77/output_v1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 100ae63fafc7b4c4fae613aa01c611bea24a96f72c51de5ad7340df4cc3d913c
- Size of remote file:
- 114 kB
- SHA256:
- 57166990cd67bda7574f333a978b9a77af3ca7e1f6e3f60acc7053fec126c40c
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.