Instructions to use burcusu/ct2-codet5p-220m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use burcusu/ct2-codet5p-220m with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("burcusu/ct2-codet5p-220m", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- bf89d75aa2b5684b056f693c2aaee596efafec355fe44102081f52308917ecba
- Size of remote file:
- 446 MB
- SHA256:
- 4400cb97774b35a1e099e20663f0a7ad57559adc66e9b8c8ae1557f619da28dc
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