Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
English
bert
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use JeremiahZ/bert-base-uncased-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JeremiahZ/bert-base-uncased-mrpc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JeremiahZ/bert-base-uncased-mrpc")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JeremiahZ/bert-base-uncased-mrpc") model = AutoModelForSequenceClassification.from_pretrained("JeremiahZ/bert-base-uncased-mrpc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add verifyToken field to verify evaluation results are produced by Hugging Face's automatic model evaluator
Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋! We've added a new `verifyToken` field to your evaluation results to verify that they are produced by the model evaluator. Accept this PR to ensure that your results remain listed as **verified** on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards).5226734
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Add evaluation results on the mrpc config and validation split of glue (#1)
- Add evaluation results on the mrpc config and validation split of glue (63da5650708ddf2e55307beefa72c6f0d1d30e0a) Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>47ac4af
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update model card README.md
Jeremiah Zhou65cd154 -
End of training
Jeremiah Zhou08705fe -
update model card README.md
Jeremiah Zhou0804d9d -
Model save
Jeremiah Zhouba4fcc1 -
Training in progress, epoch 5
Jeremiah Zhou9cda491 -
Training in progress, epoch 1
Jeremiah Zhou3258a08 -
initial commit
Jeremiah Zhou1dcea01