Instructions to use Intel/bart-large-mrpc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Intel/bart-large-mrpc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Intel/bart-large-mrpc")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Intel/bart-large-mrpc") model = AutoModelForSequenceClassification.from_pretrained("Intel/bart-large-mrpc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 84955b3dcab9ec72f5c8def5db6127a89d16f30b3262ec9fe1521bfad460af4b
- Size of remote file:
- 1.63 GB
- SHA256:
- 2742ddfb041d8a84815564f2689ef8913c0f9e22a452f5c95777ec45fb8d5d09
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