Instructions to use malteklaes/based-CodeBERTa-language-id-llm-module with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use malteklaes/based-CodeBERTa-language-id-llm-module with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="malteklaes/based-CodeBERTa-language-id-llm-module")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("malteklaes/based-CodeBERTa-language-id-llm-module") model = AutoModelForSequenceClassification.from_pretrained("malteklaes/based-CodeBERTa-language-id-llm-module") - Notebooks
- Google Colab
- Kaggle
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This model identifies foreign code and determines the recognized programming language.
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It is currently not further trained and has been completely adopted by huggingface/CodeBERTa-language-id.
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[source: https://huggingface.co/huggingface/CodeBERTa-language-id]
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This model identifies foreign code and determines the recognized programming language.
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It is currently not further trained and has been completely adopted by huggingface/CodeBERTa-language-id.
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[source: https://huggingface.co/huggingface/CodeBERTa-language-id ]
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