Instructions to use Fsoft-AIC/CodeCapybara with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Fsoft-AIC/CodeCapybara with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Fsoft-AIC/CodeCapybara", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ebe808acef08a54d132539ede34a1aee30218d9069332e169e924c66ebd50df5
- Size of remote file:
- 810 MB
- SHA256:
- b94f7b7b51d57431c465ac81351d09d82b89633fc02ddc83dc5ca573d31dbebf
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.