Zero-Shot Classification
Transformers
PyTorch
English
deberta
text-classification
deberta-v1
deberta-mnli
Instructions to use Narsil/deberta-large-mnli-zero-cls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Narsil/deberta-large-mnli-zero-cls with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("zero-shot-classification", model="Narsil/deberta-large-mnli-zero-cls")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Narsil/deberta-large-mnli-zero-cls") model = AutoModelForSequenceClassification.from_pretrained("Narsil/deberta-large-mnli-zero-cls", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
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tasks: mnli
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thumbnail: https://huggingface.co/front/thumbnails/microsoft.png
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license: mit
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pipeline_tag: zero-shot-classification
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tasks: mnli
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thumbnail: https://huggingface.co/front/thumbnails/microsoft.png
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license: mit
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pipeline_tag: zero-shot-classification
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