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NamCyan
/
phi-2-technical-debt-code-tesoro

Text Classification
Transformers
Safetensors
phi
Model card Files Files and versions
xet
Community

Instructions to use NamCyan/phi-2-technical-debt-code-tesoro with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NamCyan/phi-2-technical-debt-code-tesoro with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="NamCyan/phi-2-technical-debt-code-tesoro")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("NamCyan/phi-2-technical-debt-code-tesoro")
    model = AutoModelForSequenceClassification.from_pretrained("NamCyan/phi-2-technical-debt-code-tesoro")
  • Notebooks
  • Google Colab
  • Kaggle
phi-2-technical-debt-code-tesoro
10.6 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
NamCyan's picture
NamCyan
Update README.md
e37b2ba verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit over 1 year ago
  • README.md
    3.7 kB
    Update README.md over 1 year ago
  • added_tokens.json
    1.08 kB
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  • config.json
    1.15 kB
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  • merges.txt
    456 kB
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  • model-00001-of-00003.safetensors
    4.98 GB
    xet
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  • model-00002-of-00003.safetensors
    4.98 GB
    xet
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  • model-00003-of-00003.safetensors
    629 MB
    xet
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  • model.safetensors.index.json
    35.7 kB
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  • special_tokens_map.json
    587 Bytes
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  • tokenizer.json
    2.12 MB
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  • tokenizer_config.json
    7.6 kB
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  • vocab.json
    798 kB
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