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microsoft
/
deberta-xlarge-mnli

Text Classification
Transformers
PyTorch
google-tensorflow TensorFlow
English
deberta
deberta-v1
deberta-mnli
Model card Files Files and versions
xet
Community
8

Instructions to use microsoft/deberta-xlarge-mnli with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use microsoft/deberta-xlarge-mnli with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="microsoft/deberta-xlarge-mnli")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("microsoft/deberta-xlarge-mnli")
    model = AutoModelForSequenceClassification.from_pretrained("microsoft/deberta-xlarge-mnli")
  • Inference
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Adding `safetensors` variant of this model

#10 opened about 1 year ago by
SFconvertbot

Adding `safetensors` variant of this model

#9 opened about 1 year ago by
SFconvertbot

Adding `safetensors` variant of this model

#8 opened about 1 year ago by
SFconvertbot

Adding `safetensors` variant of this model

#7 opened over 1 year ago by
SFconvertbot

Adding `safetensors` variant of this model

#6 opened over 1 year ago by
SFconvertbot

Updates incorrect tokenizer configuration file

#5 opened about 2 years ago by
lysandre

Adding `safetensors` variant of this model

#2 opened about 3 years ago by
SFconvertbot
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