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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Librarian Bot: Add base_model information to model
This pull request aims to enrich the metadata of your model by adding [`bert-base-uncased`](https://huggingface.co/bert-base-uncased) as a `base_model` field, situated in the `YAML` block of your model's `README.md`. How did we find this information? We performed a regular expression match on your `README.md` file to determine the connection. **Why add this?** Enhancing your model's metadata in this way: - **Boosts Discoverability** - It becomes straightforward to trace the relationships between various models on the Hugging Face Hub. - **Highlights Impact** - It showcases the contributions and influences different models have within the community. For a hands-on example of how such metadata can play a pivotal role in mapping model connections, take a look at [librarian-bots/base_model_explorer](https://huggingface.co/spaces/librarian-bots/base_model_explorer). This PR comes courtesy of [Librarian Bot](https://huggingface.co/librarian-bot). If you have any feedback, queries, or nee…3f3448e
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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 (5226734c27f08ecb64a64d2dc727472cd814009e) Co-authored-by: Evaluation Bot <autoevaluator@users.noreply.huggingface.co>8adcaff
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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