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zeroshot
/
deberta-binary-quest-state

Text Classification
Transformers
Safetensors
deberta-v2
text-embeddings-inference
Model card Files Files and versions
xet
Community

Instructions to use zeroshot/deberta-binary-quest-state with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use zeroshot/deberta-binary-quest-state with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="zeroshot/deberta-binary-quest-state")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("zeroshot/deberta-binary-quest-state")
    model = AutoModelForSequenceClassification.from_pretrained("zeroshot/deberta-binary-quest-state")
  • Notebooks
  • Google Colab
  • Kaggle
deberta-binary-quest-state
749 MB
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  • 1 contributor
History: 2 commits
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zeroshot
Upload 7 files
6ae2d2d verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • added_tokens.json
    23 Bytes
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  • config.json
    880 Bytes
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  • model.safetensors
    738 MB
    xet
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  • special_tokens_map.json
    286 Bytes
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  • spm.model
    2.46 MB
    xet
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  • tokenizer.json
    8.66 MB
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  • tokenizer_config.json
    1.28 kB
    Upload 7 files almost 2 years ago