Instructions to use Ensheng/Code-Roberta-MLM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Ensheng/Code-Roberta-MLM with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Ensheng/Code-Roberta-MLM", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb8e1906e68a380ca26b919ff4c1daf41b127efa77d9bc144236d33c68c5c08f
- Size of remote file:
- 499 MB
- SHA256:
- 6045a9e8ffb399a71a7f80dde5bd6ba179a855fb71e209c14c204dd2255eddf0
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