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:
- 20dc0ece27255d3e78b9a9ed0aaf872246d56ebec049118b42fb80375b846a0b
- Size of remote file:
- 810 MB
- SHA256:
- 88e6847679ba1f2a2b56d733298e780b9cc61b50c300c605a51edb1b54ceb872
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.