Zero-Shot Classification
Transformers
PyTorch
JAX
bart
text-classification
distilbart
distilbart-mnli
Instructions to use valhalla/distilbart-mnli-12-9 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use valhalla/distilbart-mnli-12-9 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="valhalla/distilbart-mnli-12-9")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("valhalla/distilbart-mnli-12-9") model = AutoModelForSequenceClassification.from_pretrained("valhalla/distilbart-mnli-12-9") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27148751000b6b2556cd84114b32a5ebdda9208f5ad235eaea7c37be982c245d
- Size of remote file:
- 1.43 GB
- SHA256:
- 8138ee5c59148fea15c24d1de79387a90b7b68bd85b110324d667f66e6969d0a
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