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Intel
/
roberta-base-mrpc-int8-dynamic-inc

Text Classification
Transformers
ONNX
English
roberta
text-classfication
int8
Intel® Neural Compressor
PostTrainingDynamic
Model card Files Files and versions
xet
Community

Instructions to use Intel/roberta-base-mrpc-int8-dynamic-inc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Intel/roberta-base-mrpc-int8-dynamic-inc with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="Intel/roberta-base-mrpc-int8-dynamic-inc")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Intel/roberta-base-mrpc-int8-dynamic-inc")
    model = AutoModelForSequenceClassification.from_pretrained("Intel/roberta-base-mrpc-int8-dynamic-inc")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base-mrpc-int8-dynamic-inc
129 MB
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  • 1 contributor
History: 2 commits
yuwenz's picture
yuwenz
upload int8 onnx model
c95a1bb over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • README.md
    821 Bytes
    upload int8 onnx model over 3 years ago
  • config.json
    900 Bytes
    upload int8 onnx model over 3 years ago
  • model.onnx
    127 MB
    xet
    upload int8 onnx model over 3 years ago
  • tokenizer.json
    2.11 MB
    upload int8 onnx model over 3 years ago