Instructions to use textattack/roberta-base-MRPC with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use textattack/roberta-base-MRPC with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="textattack/roberta-base-MRPC")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("textattack/roberta-base-MRPC") model = AutoModelForSequenceClassification.from_pretrained("textattack/roberta-base-MRPC", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| eval_loss = 0.3452035018375942 | |
| eval_acc = 0.8627450980392157 | |
| eval_f1 = 0.9 | |
| eval_acc_and_f1 = 0.8813725490196078 | |
| epoch = 3.0 | |