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
[metadata] Specify `base_model`
Browse filescc @jeffboudier
README.md
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datasets:
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- code_search_net
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license: apache-2.0
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---
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# CodeBERTa-language-id: The World’s fanciest programming language identification algo 🤯
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datasets:
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- code_search_net
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license: apache-2.0
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base_model: huggingface/CodeBERTa-small-v1
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---
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# CodeBERTa-language-id: The World’s fanciest programming language identification algo 🤯
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