Zero-Shot Classification
Transformers
PyTorch
JAX
bart
text-classification
distilbart
distilbart-mnli
Instructions to use valhalla/distilbart-mnli-12-3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use valhalla/distilbart-mnli-12-3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="valhalla/distilbart-mnli-12-3")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("valhalla/distilbart-mnli-12-3") model = AutoModelForSequenceClassification.from_pretrained("valhalla/distilbart-mnli-12-3") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0a972e6bf10c688597b12e003f3c0a8191f2cebc268c4f042d94ba75fc1b1a1e
- Size of remote file:
- 1.02 GB
- SHA256:
- d6d86e46d68c4b30646d115e992fc049e5d56775b8068aaf21dc22c511bcf726
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