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peter-nagy
/
deep-grader-unixcoder-python

Text Classification
Transformers
PyTorch
roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use peter-nagy/deep-grader-unixcoder-python with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use peter-nagy/deep-grader-unixcoder-python with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="peter-nagy/deep-grader-unixcoder-python")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("peter-nagy/deep-grader-unixcoder-python")
    model = AutoModelForSequenceClassification.from_pretrained("peter-nagy/deep-grader-unixcoder-python")
  • Notebooks
  • Google Colab
  • Kaggle
deep-grader-unixcoder-python
506 MB
Ctrl+K
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  • 2 contributors
History: 4 commits
Peter Nagy
Upload 7 files
6941309 over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    341 Bytes
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  • config.json
    816 Bytes
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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
    772 Bytes
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  • tokenizer.json
    1.38 MB
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  • tokenizer_config.json
    1.1 kB
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  • vocab.json
    835 kB
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