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ghe1231
/
mrpc

Text Classification
Transformers
JAX
TensorBoard
bert
text-embeddings-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use ghe1231/mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ghe1231/mrpc with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="ghe1231/mrpc")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("ghe1231/mrpc")
    model = AutoModelForSequenceClassification.from_pretrained("ghe1231/mrpc")
  • Notebooks
  • Google Colab
  • Kaggle
mrpc
434 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
Guowei He
Saving weights and logs of step 342
8fe3ce4 over 3 years ago
  • .gitattributes
    1.38 kB
    initial commit over 3 years ago
  • config.json
    677 Bytes
    Saving weights and logs of step 342 over 3 years ago
  • events.out.tfevents.1663919660.dgx-r59-1.leto.internal.aios.me.1270444.0.v2
    3.51 kB
    xet
    Saving weights and logs of step 342 over 3 years ago
  • events.out.tfevents.1663920251.dgx-r59-1.leto.internal.aios.me.1276213.0.v2
    4.33 kB
    xet
    Saving weights and logs of step 342 over 3 years ago
  • flax_model.msgpack
    433 MB
    xet
    Saving weights and logs of step 342 over 3 years ago
  • special_tokens_map.json
    125 Bytes
    Saving weights and logs of step 342 over 3 years ago
  • tokenizer.json
    669 kB
    Saving weights and logs of step 342 over 3 years ago
  • tokenizer_config.json
    347 Bytes
    Saving weights and logs of step 342 over 3 years ago
  • vocab.txt
    213 kB
    Saving weights and logs of step 342 over 3 years ago