Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing

  • Log In
  • Sign Up

belyakoff
/
DeBERTa-NLI

Text Classification
Transformers
Safetensors
deberta
Model card Files Files and versions
xet
Community

Instructions to use belyakoff/DeBERTa-NLI with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use belyakoff/DeBERTa-NLI with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="belyakoff/DeBERTa-NLI")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("belyakoff/DeBERTa-NLI")
    model = AutoModelForSequenceClassification.from_pretrained("belyakoff/DeBERTa-NLI")
  • Notebooks
  • Google Colab
  • Kaggle
DeBERTa-NLI
505 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
belyakoff's picture
belyakoff
Update config.json
2d38e3a verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • config.json
    943 Bytes
    Update config.json almost 2 years ago
  • merges.txt
    1.21 MB
    Upload tokenizer almost 2 years ago
  • model.safetensors
    499 MB
    xet
    Upload DebertaForSequenceClassification almost 2 years ago
  • special_tokens_map.json
    964 Bytes
    Upload tokenizer almost 2 years ago
  • tokenizer.json
    3.62 MB
    Upload tokenizer almost 2 years ago
  • tokenizer_config.json
    1.24 kB
    Upload tokenizer almost 2 years ago
  • vocab.json
    1.56 MB
    Upload tokenizer almost 2 years ago