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akashAD
/
fb_zeroshot_mnli_onnx

Text Classification
Transformers
ONNX
bart
Model card Files Files and versions
xet
Community

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

  • Libraries
  • Transformers

    How to use akashAD/fb_zeroshot_mnli_onnx with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="akashAD/fb_zeroshot_mnli_onnx")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("akashAD/fb_zeroshot_mnli_onnx")
    model = AutoModelForSequenceClassification.from_pretrained("akashAD/fb_zeroshot_mnli_onnx")
  • Notebooks
  • Google Colab
  • Kaggle
fb_zeroshot_mnli_onnx
Ctrl+K
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  • 2 contributors
History: 2 commits
akashmangoai
Add optimized BART MNLI model
731bad7 almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • config.json
    1.19 kB
    Add optimized BART MNLI model almost 2 years ago
  • merges.txt
    456 kB
    Add optimized BART MNLI model almost 2 years ago
  • model_optimized.onnx
    1.63 GB
    xet
    Add optimized BART MNLI model almost 2 years ago
  • ort_config.json
    1.21 kB
    Add optimized BART MNLI model almost 2 years ago
  • special_tokens_map.json
    957 Bytes
    Add optimized BART MNLI model almost 2 years ago
  • tokenizer.json
    2.11 MB
    Add optimized BART MNLI model almost 2 years ago
  • tokenizer_config.json
    1.21 kB
    Add optimized BART MNLI model almost 2 years ago
  • vocab.json
    798 kB
    Add optimized BART MNLI model almost 2 years ago