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:
- 4f4c75212707e6a3c038b570d83c8207787cd1c6e8b45cd8a03ba66969b0d378
- Size of remote file:
- 3.06 kB
- SHA256:
- 52514d1b74ce4faa81b4f357a394c17e2131b4c393cd6d9784a10f2f0b1d3190
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