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NDugar
/
3epoch-3large

Zero-Shot Classification
Transformers
PyTorch
English
deberta-v2
text-classification
deberta-v3
deberta-v2`
deberta-mnli
Model card Files Files and versions
xet
Community
1

Instructions to use NDugar/3epoch-3large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NDugar/3epoch-3large with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-classification", model="NDugar/3epoch-3large")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("NDugar/3epoch-3large")
    model = AutoModelForSequenceClassification.from_pretrained("NDugar/3epoch-3large")
  • Notebooks
  • Google Colab
  • Kaggle
3epoch-3large
5.22 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 12 commits
NDugar's picture
NDugar
Create README.md
6496d73 over 4 years ago
  • .gitattributes
    1.18 kB
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  • README.md
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  • added_tokens.json
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  • config.json
    1.06 kB
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  • optimizer.pt
    3.48 GB
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  • pytorch_model.bin
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  • rng_state.pth
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  • scaler.pt
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  • scheduler.pt
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  • spm.model
    2.46 MB
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  • tokenizer_config.json
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  • trainer_state.json
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