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Salesforce
/
codet5p-220m-bimodal

Feature Extraction
Transformers
PyTorch
codet5p_bimodal
custom_code
Model card Files Files and versions
xet
Community
3

Instructions to use Salesforce/codet5p-220m-bimodal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Salesforce/codet5p-220m-bimodal with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Salesforce/codet5p-220m-bimodal", trust_remote_code=True)
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("Salesforce/codet5p-220m-bimodal", trust_remote_code=True, dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
codet5p-220m-bimodal
895 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 7 commits
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doyensahoo
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pjwalapuram
Update README.md with ethical considerations (#2)
b65550c verified over 1 year ago
  • .gitattributes
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  • README.md
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  • added_tokens.json
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  • config.json
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  • configuration_codet5p_bimodal.py
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  • merges.txt
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  • modeling_codet5p_bimodal.py
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  • pytorch_model.bin
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer_config.json
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  • vocab.json
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