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rwillh11
/
mdeberta_NLI_stance_NoContext

Text Classification
Transformers
Safetensors
English
German
deberta-v2
stance-detection
political-science
multilingual
nli
deberta
group-appeals
text-embeddings-inference
Model card Files Files and versions
xet
Community
5

Instructions to use rwillh11/mdeberta_NLI_stance_NoContext with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use rwillh11/mdeberta_NLI_stance_NoContext with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="rwillh11/mdeberta_NLI_stance_NoContext")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("rwillh11/mdeberta_NLI_stance_NoContext")
    model = AutoModelForSequenceClassification.from_pretrained("rwillh11/mdeberta_NLI_stance_NoContext")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

Fix tokenizer compatibility with newer transformers versions

#5 opened 8 months ago by
Alonadoli

Error and fix with tokenizer.json and PyDecoderWrapper

#4 opened 9 months ago by
LCezanne99
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