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:
- 0c22b6b3282cd64ffcef9085cec4cf0e43cd4c8818c474ff88d727c1ec874ce8
- Size of remote file:
- 336 MB
- SHA256:
- be0359bfdb1893fb3bb7818fbaede7c5a37a5aba3996048c30977a552e95f2bd
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