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fasterinnerlooper
/
codereviewer

Feature Extraction
Transformers
Safetensors
t5
Model card Files Files and versions
xet
Community

Instructions to use fasterinnerlooper/codereviewer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use fasterinnerlooper/codereviewer with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="fasterinnerlooper/codereviewer")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("fasterinnerlooper/codereviewer")
    model = AutoModel.from_pretrained("fasterinnerlooper/codereviewer")
  • Notebooks
  • Google Colab
  • Kaggle
codereviewer
894 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
fasterinnerlooper's picture
fasterinnerlooper
Upload model
d480c26 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.18 kB
    Upload tokenizer about 2 years ago
  • added_tokens.json
    2.1 kB
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  • config.json
    2.19 kB
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  • generation_config.json
    168 Bytes
    Upload CodeReviewerForConditionalGeneration about 2 years ago
  • merges.txt
    294 kB
    Upload tokenizer about 2 years ago
  • model.safetensors
    892 MB
    xet
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  • special_tokens_map.json
    1.14 kB
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  • tokenizer.json
    1.37 MB
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  • tokenizer_config.json
    21.2 kB
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  • vocab.json
    511 kB
    Upload tokenizer about 2 years ago