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INC4AI
/
roberta-base-mrpc-int8-static-inc

Text Classification
Transformers
PyTorch
ONNX
English
roberta
text-classfication
int8
Intel® Neural Compressor
neural-compressor
PostTrainingStatic
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Community
1

Instructions to use INC4AI/roberta-base-mrpc-int8-static-inc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use INC4AI/roberta-base-mrpc-int8-static-inc with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="INC4AI/roberta-base-mrpc-int8-static-inc")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("INC4AI/roberta-base-mrpc-int8-static-inc")
    model = AutoModelForSequenceClassification.from_pretrained("INC4AI/roberta-base-mrpc-int8-static-inc", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
roberta-base-mrpc-int8-static-inc
130 MB
Ctrl+K
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  • 4 contributors
History: 2 commits
xinhe's picture
xinhe
upload int8 model
6ba855c over 4 years ago
  • .gitattributes
    1.22 kB
    initial commit over 4 years ago
  • config.json
    885 Bytes
    upload int8 model over 4 years ago
  • merges.txt
    456 kB
    upload int8 model over 4 years ago
  • pytorch_model.bin
    127 MB
    xet
    upload int8 model over 4 years ago
  • special_tokens_map.json
    239 Bytes
    upload int8 model over 4 years ago
  • tokenizer.json
    2.11 MB
    upload int8 model over 4 years ago
  • tokenizer_config.json
    385 Bytes
    upload int8 model over 4 years ago
  • vocab.json
    798 kB
    upload int8 model over 4 years ago