Instructions to use shivank21/model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use shivank21/model with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("shivank21/model", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 09474076507fb1702d7f00cade3b62d9d321b4dbdaf47f2d6a75638565c8692e
- Size of remote file:
- 6.2 kB
- SHA256:
- badee427844befcf544cc0fe7e1e94dcd93994fe0099fdd779ca5dbe0cc22d31
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.