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
Adding license tag
Browse filesSuggesting Apache 2.0
README.md
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@@ -3,6 +3,7 @@ language: code
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thumbnail: https://cdn-media.huggingface.co/CodeBERTa/CodeBERTa.png
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datasets:
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- code_search_net
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---
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# CodeBERTa-language-id: The World’s fanciest programming language identification algo 🤯
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}
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```
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</details>
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thumbnail: https://cdn-media.huggingface.co/CodeBERTa/CodeBERTa.png
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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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}
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```
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</details>
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