Instructions to use nicoler229/p2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nicoler229/p2 with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("nicoler229/p2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3367e69d29eb69c6626fb3ed18bacfa5ca5901ecee3ed3c99baad97bf2b1383e
- Size of remote file:
- 512 kB
- SHA256:
- 055eb9e7b8fe9ff6644fb20e22f9b903f6309dc487637aa8ff21f612582871b7
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.