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aieng-lab
/
codet5p-770m_comment-type-java

Text Classification
Transformers
Safetensors
English
t5
Model card Files Files and versions
xet
Community

Instructions to use aieng-lab/codet5p-770m_comment-type-java with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use aieng-lab/codet5p-770m_comment-type-java with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="aieng-lab/codet5p-770m_comment-type-java")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("aieng-lab/codet5p-770m_comment-type-java")
    model = AutoModelForSequenceClassification.from_pretrained("aieng-lab/codet5p-770m_comment-type-java")
  • Notebooks
  • Google Colab
  • Kaggle
codet5p-770m_comment-type-java
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  • 1 contributor
History: 2 commits
fabiancpl's picture
fabiancpl
Pushing model, tokenizer and model card
03d3681 11 months ago
  • .gitattributes
    1.52 kB
    initial commit 11 months ago
  • README.md
    878 Bytes
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  • config.json
    1.16 kB
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  • merges.txt
    294 kB
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  • model.safetensors
    1.48 GB
    xet
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  • special_tokens_map.json
    15.5 kB
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  • tokenizer.json
    2.29 MB
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  • tokenizer_config.json
    21.1 kB
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  • vocab.json
    511 kB
    Pushing model, tokenizer and model card 11 months ago