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")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("huggingface/CodeBERTa-language-id") model = AutoModelForSequenceClassification.from_pretrained("huggingface/CodeBERTa-language-id") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d45779ecbb8a1827743900a3585cae5a496c6f06fc5b6886369d927e5a54a4ce
- Size of remote file:
- 334 MB
- SHA256:
- 8407f0ac9f759ced96ae40c366db6a03b3a5a725dd915252c9456b3945537eb2
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