Instructions to use alexjercan/codebert-base-buggy-token-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use alexjercan/codebert-base-buggy-token-classification with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("token-classification", model="alexjercan/codebert-base-buggy-token-classification")# Load model directly from transformers import AutoTokenizer, AutoModelForTokenClassification tokenizer = AutoTokenizer.from_pretrained("alexjercan/codebert-base-buggy-token-classification") model = AutoModelForTokenClassification.from_pretrained("alexjercan/codebert-base-buggy-token-classification") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- aea21f29fcce429236f9236aa454a50559e51620bf697a4e95f2a36f8f234e3b
- Size of remote file:
- 2.99 kB
- SHA256:
- 3e2a2e62f705b32c825c02316e4be090671a1eb6406f06ba454730d7b0a79b96
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