Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

sgugger
/
glue-mrpc

Text Classification
Transformers
PyTorch
TensorBoard
English
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
5

Instructions to use sgugger/glue-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sgugger/glue-mrpc with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="sgugger/glue-mrpc")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("sgugger/glue-mrpc")
    model = AutoModelForSequenceClassification.from_pretrained("sgugger/glue-mrpc")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Librarian Bot: Update Hugging Face dataset ID

#5 opened about 2 years ago by
librarian-bot

Librarian Bot: Add base_model information to model

#4 opened over 2 years ago by
librarian-bot

Adding `safetensors` variant of this model

#3 opened about 3 years ago by
SFconvertbot

Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator

#2 opened over 3 years ago by
autoevaluator
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs