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Henry65
/
RepoSim4Py

Feature Extraction
Transformers
PyTorch
roberta
code-understanding
unixcoder
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use Henry65/RepoSim4Py with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Henry65/RepoSim4Py with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("feature-extraction", model="Henry65/RepoSim4Py")
    # Load model directly
    from transformers import AutoTokenizer, AutoModel
    
    tokenizer = AutoTokenizer.from_pretrained("Henry65/RepoSim4Py")
    model = AutoModel.from_pretrained("Henry65/RepoSim4Py")
  • Notebooks
  • Google Colab
  • Kaggle
RepoSim4Py
507 MB
Ctrl+K
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  • 3 contributors
History: 28 commits
Henry65's picture
Henry65
Update RepoPipeline.py
a6f930e almost 3 years ago
  • .gitattributes
    54 Bytes
    Upload pytorch_model.bin almost 3 years ago
  • README.md
    21 Bytes
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  • RepoPipeline.py
    14.2 kB
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  • config.json
    1.08 kB
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  • merges.txt
    444 kB
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  • pytorch_model.bin
    504 MB
    xet
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  • special_tokens_map.json
    957 Bytes
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  • tokenizer.json
    2.14 MB
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  • tokenizer_config.json
    1.37 kB
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  • vocab.json
    835 kB
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