Instructions to use facebook/bart-large-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/bart-large-mnli with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="facebook/bart-large-mnli")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("facebook/bart-large-mnli") model = AutoModelForSequenceClassification.from_pretrained("facebook/bart-large-mnli") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a826c02b0e2d21d9958cfcf89586ac6c8a70080a7d367ca49daa6cce50f2eff
- Size of remote file:
- 1.63 GB
- SHA256:
- cfbb687dbbd9df99fe865e1860350a22aebac4d26ee4bcb50217f1df606a018e
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