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austin
/
gca_tab_onnx

Text Classification
Transformers
ONNX
deberta-v2
text-embeddings-inference
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use austin/gca_tab_onnx with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="austin/gca_tab_onnx")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("austin/gca_tab_onnx")
    model = AutoModelForSequenceClassification.from_pretrained("austin/gca_tab_onnx")
  • Notebooks
  • Google Colab
  • Kaggle
gca_tab_onnx
752 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
cmcmaster's picture
cmcmaster
Update config.json
e07db7a over 2 years ago
  • onnx
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  • .gitattributes
    1.52 kB
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  • README.md
    21 Bytes
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  • added_tokens.json
    23 Bytes
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  • config.json
    1.14 kB
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  • quantize_config.json
    1.19 kB
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  • special_tokens_map.json
    971 Bytes
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  • spm.model
    2.46 MB
    xet
    add model over 2 years ago
  • tokenizer.json
    8.65 MB
    add model over 2 years ago
  • tokenizer_config.json
    1.29 kB
    add model over 2 years ago