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mahesh27
/
div-class-roberta

Text Classification
Transformers
PyTorch
Sanskrit
roberta
text-embeddings-inference
Model card Files Files and versions
xet
Community
4

Instructions to use mahesh27/div-class-roberta with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use mahesh27/div-class-roberta with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="mahesh27/div-class-roberta")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("mahesh27/div-class-roberta")
    model = AutoModelForSequenceClassification.from_pretrained("mahesh27/div-class-roberta", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
div-class-roberta
407 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 10 commits
mahesh27's picture
mahesh27
Update README.md
5c31029 verified 5 days ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    1.65 kB
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  • config.json
    2.21 kB
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  • pytorch_model.bin

    Detected Pickle imports (4)

    • "torch.LongStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    406 MB
    xet
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  • special_tokens_map.json
    153 Bytes
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  • tokenizer.json
    795 kB
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  • tokenizer_config.json
    331 Bytes
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