Text Classification
Transformers
PyTorch
TensorBoard
Safetensors
English
roberta
Generated from Trainer
Eval Results (legacy)
text-embeddings-inference
Instructions to use JeremiahZ/roberta-base-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use JeremiahZ/roberta-base-mrpc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="JeremiahZ/roberta-base-mrpc")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("JeremiahZ/roberta-base-mrpc") model = AutoModelForSequenceClassification.from_pretrained("JeremiahZ/roberta-base-mrpc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add evaluation results on the mrpc config and validation split of glue
Beep boop, I am a bot from Hugging Face's automatic model evaluator 👋!\ Your model has been evaluated on the mrpc config and validation split of the [glue](https://huggingface.co/datasets/glue) dataset by @JeremiahZ, using the predictions stored [here](https://huggingface.co/datasets/autoevaluate/autoeval-eval-glue-mrpc-9038ab-1509054845).\ Accept this pull request to see the results displayed on the [Hub leaderboard](https://huggingface.co/spaces/autoevaluate/leaderboards?dataset=glue).\ Evaluate your model on more datasets [here](https://huggingface.co/spaces/autoevaluate/model-evaluator?dataset=glue).730b480
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Updated model name
Jeremiah Zhou9cae29b -
update model card README.md
Jeremiah Zhou3b2f283 -
End of training
Jeremiah Zhoud1d1516 -
update model card README.md
Jeremiah Zhou41d2058 -
Model save
Jeremiah Zhou1967445 -
Training in progress, step 500
Jeremiah Zhouea02889 -
initial commit
Jeremiah Zhou73e9578