Text Classification
Transformers
PyTorch
English
bert
Generated from Trainer
bert-base-uncased
fp32
Eval Results (legacy)
text-embeddings-inference
Instructions to use Intel/bert-base-uncased-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/bert-base-uncased-mrpc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Intel/bert-base-uncased-mrpc")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Intel/bert-base-uncased-mrpc") model = AutoModelForSequenceClassification.from_pretrained("Intel/bert-base-uncased-mrpc", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Commit History
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Librarian Bot: Update Hugging Face dataset ID
Verified signatureThis pull request updates the ID of the dataset used to train the model to the new Hub identifier `nyu-mll/glue` (which has been migrated moved from `glue`). We have been working to migrate datasets to their own repositories on the Hub, and this is part of that effort. Updating the dataset ID in the model card will ensure that the model card is correctly linked to the dataset repository on the Hub. This will also make it easier for people to find your model via the training data used to create it. This PR comes courtesy of [Librarian Bot](https://huggingface.co/librarian-bot). If you have any feedback, queries, or need assistance, please don't hesitate to reach out to [@davanstrien](https://huggingface.co/davanstrien).e52a2c8
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Update ReadMe.md (#5)
Verified signature- Update ReadMe.md (398cc700c8f517ea4728d2658023fa0ca0b6c8d0) Co-authored-by: bob chesebrough <Chesebrough@users.noreply.huggingface.co>2c99cf8
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Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator (#2)
- Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator (79fae78d284e9582dec28ac92747ce5f05242473) Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>cc89a47
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Add evaluation results on the mrpc config of glue (#1)
- Add evaluation results on the mrpc config of glue (84e0cd37eda4053e63975ff318fcc4b944484493) Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>1b9f67b
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remove result.json files
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Update README.md
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upload fine-tuned model
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Update README.md
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initial commit
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