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HeTree
/
HeCross

Zero-Shot Classification
Transformers
Safetensors
Hebrew
roberta
text-classification
Model card Files Files and versions
xet
Community

Instructions to use HeTree/HeCross with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use HeTree/HeCross with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-classification", model="HeTree/HeCross")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("HeTree/HeCross")
    model = AutoModelForSequenceClassification.from_pretrained("HeTree/HeCross")
  • Notebooks
  • Google Colab
  • Kaggle
HeCross
505 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 19 commits
vitvit's picture
vitvit
Update README.md
7083fb5 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    2.82 kB
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  • config.json
    891 Bytes
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  • merges.txt
    1.11 MB
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  • model.safetensors
    499 MB
    xet
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  • special_tokens_map.json
    964 Bytes
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  • tokenizer.json
    3.43 MB
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  • tokenizer_config.json
    1.23 kB
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  • vocab.json
    1.46 MB
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