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sileod
/
deberta-v3-large-tasksource-nli

Zero-Shot Classification
Transformers
PyTorch
Safetensors
English
deberta-v2
text-classification
deberta-v3-large
nli
natural-language-inference
multitask
multi-task
pipeline
extreme-multi-task
extreme-mtl
tasksource
zero-shot
rlhf
Model card Files Files and versions
xet
Community
5

Instructions to use sileod/deberta-v3-large-tasksource-nli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use sileod/deberta-v3-large-tasksource-nli with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-classification", model="sileod/deberta-v3-large-tasksource-nli")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("sileod/deberta-v3-large-tasksource-nli")
    model = AutoModelForSequenceClassification.from_pretrained("sileod/deberta-v3-large-tasksource-nli")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Add ONNX weights

#5 opened over 1 year ago by
sondalex

Librarian Bot: Update Hugging Face dataset ID

#4 opened about 2 years ago by
librarian-bot

Why is this model significantly bigger than microsoft/deberta-v3-large

#3 opened over 2 years ago by
cyenjoylife

Minimal reproducible inference code please

1
#2 opened almost 3 years ago by
BornSaint
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