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tasksource
/
deberta-base-long-nli

Zero-Shot Classification
Transformers
Safetensors
deberta-v2
text-classification
Model card Files Files and versions
xet
Community

Instructions to use tasksource/deberta-base-long-nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use tasksource/deberta-base-long-nli with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-classification", model="tasksource/deberta-base-long-nli")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("tasksource/deberta-base-long-nli")
    model = AutoModelForSequenceClassification.from_pretrained("tasksource/deberta-base-long-nli")
  • Notebooks
  • Google Colab
  • Kaggle
deberta-base-long-nli
749 MB
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  • 1 contributor
History: 24 commits
sileod's picture
sileod
Update README.md
04dcf11 verified over 1 year ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • README.md
    10.5 kB
    Update README.md over 1 year ago
  • added_tokens.json
    23 Bytes
    Upload tokenizer almost 2 years ago
  • config.json
    19.1 kB
    Upload DebertaV2ForSequenceClassification almost 2 years ago
  • model.safetensors
    738 MB
    xet
    Upload DebertaV2ForSequenceClassification almost 2 years ago
  • special_tokens_map.json
    286 Bytes
    Upload tokenizer almost 2 years ago
  • spm.model
    2.46 MB
    xet
    Upload tokenizer almost 2 years ago
  • tokenizer.json
    8.66 MB
    Upload tokenizer almost 2 years ago
  • tokenizer_config.json
    1.28 kB
    Upload tokenizer almost 2 years ago