Instructions to use Saucystream/fine_tuned_chandra with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Saucystream/fine_tuned_chandra with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Saucystream/fine_tuned_chandra", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d48dcb4565189f977dd72af3779d0c2d1d5458fd34900beae45ef1d87b9946b5
- Size of remote file:
- 6.42 kB
- SHA256:
- c44e07c9c71708b40891e6f2faebefb2f4dfdf9b43fe8d68591369f94c4bd8b6
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.