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a98zhang
/
roberta-based_mclass

Text Classification
Transformers
TensorBoard
Safetensors
roberta
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use a98zhang/roberta-based_mclass with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use a98zhang/roberta-based_mclass with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="a98zhang/roberta-based_mclass")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("a98zhang/roberta-based_mclass")
    model = AutoModelForSequenceClassification.from_pretrained("a98zhang/roberta-based_mclass")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-based_mclass
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  • 1 contributor
History: 4 commits
a98zhang's picture
a98zhang
End of training
a2b6c35 verified over 2 years ago
  • runs
    End of training over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    1.04 kB
    a98zhang/roberta-based_mclass over 2 years ago
  • config.json
    735 Bytes
    a98zhang/roberta-based_mclass over 2 years ago
  • merges.txt
    456 kB
    End of training over 2 years ago
  • model.safetensors
    499 MB
    xet
    End of training over 2 years ago
  • special_tokens_map.json
    958 Bytes
    End of training over 2 years ago
  • tokenizer_config.json
    1.19 kB
    End of training over 2 years ago
  • training_args.bin
    4.6 kB
    xet
    End of training over 2 years ago
  • vocab.json
    999 kB
    End of training over 2 years ago