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:
- 1e6ec6637e17ab50decd8ce6fd118dc81837ab81bc96c245a175932b340f69a2
- Size of remote file:
- 496 MB
- SHA256:
- 53ad7064c5f34911b290db6d5278a0219b0883de0f6a201d6db9096accb98bfd
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