Instructions to use PurCL/codeart-26m-mfc-4f-100c with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use PurCL/codeart-26m-mfc-4f-100c with Transformers:
# Load model directly from transformers import CodeArtForMultipleSequenceClassification model = CodeArtForMultipleSequenceClassification.from_pretrained("PurCL/codeart-26m-mfc-4f-100c", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 53beae36dfc9ed226f8a61998f0d995ce7205e48208d3576d7decafaeb3511df
- Size of remote file:
- 3.96 kB
- SHA256:
- 31264859847870bff90ce6bbf0113d57f352be7f018d36918ff338f6bfb55f7e
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