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MoritzLaurer
/
deberta-v3-large-zeroshot-v1.1-all-33

Zero-Shot Classification
Transformers
PyTorch
ONNX
Safetensors
English
deberta-v2
text-classification
Model card Files Files and versions
xet
Community
6

Instructions to use MoritzLaurer/deberta-v3-large-zeroshot-v1.1-all-33 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MoritzLaurer/deberta-v3-large-zeroshot-v1.1-all-33 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-classification", model="MoritzLaurer/deberta-v3-large-zeroshot-v1.1-all-33")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("MoritzLaurer/deberta-v3-large-zeroshot-v1.1-all-33")
    model = AutoModelForSequenceClassification.from_pretrained("MoritzLaurer/deberta-v3-large-zeroshot-v1.1-all-33")
  • Notebooks
  • Google Colab
  • Kaggle
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Resources
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  • Code of Conduct
  • Hub documentation

Onnx version of the model giving list index out of range error.

2
#5 opened over 2 years ago by
Gopalkrishna

Come on try quantizing this

#4 opened over 2 years ago by
supercharge19
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