Instructions to use PurCL/codeart-26m with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PurCL/codeart-26m with Transformers:
# Load model directly from transformers import CodeArtForMaskedLMWithEdgePrediction model = CodeArtForMaskedLMWithEdgePrediction.from_pretrained("PurCL/codeart-26m", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6fde3050a3df657cb77c33a0e7b0190e743df31abf23b8b176ee74e973432f06
- Size of remote file:
- 441 MB
- SHA256:
- 6befe268875fc63ddca3ca5d2c6b05e424bcccab17c47713bed1fdecd92db20d
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.