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typeform
/
squeezebert-mnli

Zero-Shot Classification
Transformers
PyTorch
English
squeezebert
Model card Files Files and versions
xet
Community
1

Instructions to use typeform/squeezebert-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use typeform/squeezebert-mnli with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-classification", model="typeform/squeezebert-mnli")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("typeform/squeezebert-mnli", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
squeezebert-mnli
205 MB
Ctrl+K
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  • 2 contributors
History: 9 commits
David Chu
Update config.json
040a407 about 5 years ago
  • .gitattributes
    690 Bytes
    initial commit about 5 years ago
  • README.md
    136 Bytes
    Create README.md about 5 years ago
  • config.json
    691 Bytes
    Update config.json about 5 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    204 MB
    xet
    add model about 5 years ago
  • tokenizer.json
    466 kB
    add model about 5 years ago
  • vocab.txt
    232 kB
    add model about 5 years ago