Zero-Shot Classification
Transformers
PyTorch
JAX
bart
text-classification
distilbart
distilbart-mnli
Instructions to use valhalla/distilbart-mnli-12-6 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use valhalla/distilbart-mnli-12-6 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="valhalla/distilbart-mnli-12-6")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("valhalla/distilbart-mnli-12-6") model = AutoModelForSequenceClassification.from_pretrained("valhalla/distilbart-mnli-12-6") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5136d7ccb49d1ba064fadbc5fc6b69e704933fedb59e901d7657e0f7cf19c18e
- Size of remote file:
- 1.23 GB
- SHA256:
- 4d73ced51477213cda5876ffa377e175f6f92f6cf252233fbc71038498661b96
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