Instructions to use textattack/facebook-bart-large-MRPC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/facebook-bart-large-MRPC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textattack/facebook-bart-large-MRPC")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/facebook-bart-large-MRPC") model = AutoModelForSequenceClassification.from_pretrained("textattack/facebook-bart-large-MRPC") - Notebooks
- Google Colab
- Kaggle
Update eval_results_mrpc.txt
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eval_results_mrpc.txt
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eval_loss = 0.4675991086719128
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eval_acc = 0.8848039215686274
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eval_f1 = 0.917975567190227
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eval_acc_and_f1 = 0.9013897443794272
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epoch = 3.0
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