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

  • Log In
  • Sign Up

luciayn
/
deberta-base-mnli

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

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

  • Libraries
  • Transformers

    How to use luciayn/deberta-base-mnli with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("text-classification", model="luciayn/deberta-base-mnli")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("luciayn/deberta-base-mnli")
    model = AutoModelForSequenceClassification.from_pretrained("luciayn/deberta-base-mnli")
  • Notebooks
  • Google Colab
  • Kaggle
deberta-base-mnli
560 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
luciayn's picture
luciayn
Upload tokenizer
838e6c3 verified about 2 years ago
  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
    5.18 kB
    Upload DebertaForSequenceClassification about 2 years ago
  • config.json
    839 Bytes
    Upload DebertaForSequenceClassification about 2 years ago
  • merges.txt
    456 kB
    Upload tokenizer about 2 years ago
  • model.safetensors
    557 MB
    xet
    Upload DebertaForSequenceClassification about 2 years ago
  • special_tokens_map.json
    969 Bytes
    Upload tokenizer about 2 years ago
  • tokenizer.json
    2.11 MB
    Upload tokenizer about 2 years ago
  • tokenizer_config.json
    1.28 kB
    Upload tokenizer about 2 years ago
  • vocab.json
    798 kB
    Upload tokenizer about 2 years ago