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

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

Instructions to use Intel/xlm-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/xlm-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/xlm-roberta-base-mrpc-int8-dynamic-inc")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("Intel/xlm-roberta-base-mrpc-int8-dynamic-inc")
    model = AutoModelForSequenceClassification.from_pretrained("Intel/xlm-roberta-base-mrpc-int8-dynamic-inc")
  • Notebooks
  • Google Colab
  • Kaggle
xlm-roberta-base-mrpc-int8-dynamic-inc
388 MB
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  • 2 contributors
History: 3 commits
1pikachu1111's picture
1pikachu1111
update int8 onnx model and readme
f3c23e3 almost 3 years ago
  • .gitattributes
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    upload int8 onnx model over 3 years ago
  • README.md
    838 Bytes
    update int8 onnx model and readme almost 3 years ago
  • config.json
    935 Bytes
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  • model.onnx
    371 MB
    xet
    update int8 onnx model and readme almost 3 years ago
  • tokenizer.json
    17.1 MB
    xet
    upload int8 onnx model over 3 years ago