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:
- 05e1f8e2490dfc66ecea8324ab6a7333a69b2358828bcb7fe08f442df9b01a7b
- Size of remote file:
- 496 MB
- SHA256:
- b00950dd340f87e0fae1bf5f30cbb6fdcaae4021a1b38f71b8569f009f0422be
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