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:
- 90a15c06aefb62edea068aba428dc91f12080814d7ee0baf044fbfc0cd1a34fa
- Size of remote file:
- 334 MB
- SHA256:
- 9114ffaf2db4344a1e463f0713177ab811b8c141746090144a9e3e8b52155890
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