Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

sgugger
/
bert-finetuned-mrpc

Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
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/bert-finetuned-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sgugger/bert-finetuned-mrpc with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="sgugger/bert-finetuned-mrpc")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("sgugger/bert-finetuned-mrpc")
    model = AutoModelForSequenceClassification.from_pretrained("sgugger/bert-finetuned-mrpc", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bert-finetuned-mrpc
867 MB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 7 commits
sgugger's picture
sgugger
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#3)
b85afb4 about 3 years ago
  • runs
    End of training almost 5 years ago
  • .gitattributes
    1.23 kB
    Adding `safetensors` variant of this model (#3) about 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, epoch 1 almost 5 years ago
  • README.md
    2.79 kB
    Add evaluation results on the mrpc config of glue (#1) about 4 years ago
  • all_results.json
    484 Bytes
    End of training almost 5 years ago
  • config.json
    895 Bytes
    Training in progress, epoch 1 almost 5 years ago
  • emissions.csv
    308 Bytes
    End of training almost 5 years ago
  • eval_results.json
    309 Bytes
    End of training almost 5 years ago
  • model.safetensors
    433 MB
    xet
    Adding `safetensors` variant of this model (#3) about 3 years ago
  • pytorch_model.bin
    433 MB
    xet
    Training in progress, epoch 3 almost 5 years ago
  • special_tokens_map.json
    112 Bytes
    Training in progress, epoch 1 almost 5 years ago
  • tokenizer.json
    436 kB
    Training in progress, epoch 1 almost 5 years ago
  • tokenizer_config.json
    320 Bytes
    Training in progress, epoch 1 almost 5 years ago
  • train_results.json
    195 Bytes
    End of training almost 5 years ago
  • trainer_state.json
    1.7 kB
    End of training almost 5 years ago
  • training_args.bin
    2.8 kB
    xet
    Training in progress, epoch 1 almost 5 years ago
  • vocab.txt
    213 kB
    Training in progress, epoch 1 almost 5 years ago