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")# 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
- Xet hash:
- 8f4942db1daeca39c9cb3de28a94c20e3e1100c60114d4a49db0eb969056b923
- Size of remote file:
- 2.93 kB
- SHA256:
- 27e91ef352445d171569225f0a44ae5146d5344ab069696e1025665098652d9b
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