Instructions to use huggingface/CodeBERTa-language-id with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use huggingface/CodeBERTa-language-id with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="huggingface/CodeBERTa-language-id")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("huggingface/CodeBERTa-language-id") model = AutoModelForSequenceClassification.from_pretrained("huggingface/CodeBERTa-language-id", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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[metadata] Specify `base_model`
Verified signaturecc @jeffboudier67e92a9 -
Adding license tag (#6)
Verified signature- Adding license tag (9cd3cc504c650ddb7bc9b3df3f0248c111095b4d) Co-authored-by: Jeff Boudier <jeffboudier@users.noreply.huggingface.co>1ceaa8a
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Migrate model card from transformers-repo
Read announcement at https://discuss.huggingface.co/t/announcement-all-model-cards-will-be-migrated-to-hf-co-model-repos/2755 Original file history: https://github.com/huggingface/transformers/commits/master/model_cards/huggingface/CodeBERTa-language-id/README.md6825fc9