Text Classification
Transformers
PyTorch
TensorBoard
English
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
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")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("sgugger/glue-mrpc") model = AutoModelForSequenceClassification.from_pretrained("sgugger/glue-mrpc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add evaluation results on the mrpc config of glue (#1)
- Add evaluation results on the mrpc config of glue (c3dbad47f50d36e07607ac252d98c0e5c1a9c2ff) Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>7735f02
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update model card README.md
fa7096b -
End of training
c6083a0 -
Training in progress, step 500
00c0dae -
initial commit
2704e57