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", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e2084567ae391f11c5a56153bb4e9ece9fc016691d89feccfd1fce11e03810eb
- Size of remote file:
- 1.05 kB
- SHA256:
- e518e1e5b11a6743576c5c71c02b41cba1cc079a158b5b0dff35d65b3f86d41e
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