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

  • Log In
  • Sign Up

deepnight-research
/
zsc-text

Zero-Shot Classification
Transformers
Safetensors
deberta-v2
text-classification
Model card Files Files and versions
xet
Community

Instructions to use deepnight-research/zsc-text with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use deepnight-research/zsc-text with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-classification", model="deepnight-research/zsc-text")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("deepnight-research/zsc-text")
    model = AutoModelForSequenceClassification.from_pretrained("deepnight-research/zsc-text")
  • Notebooks
  • Google Colab
  • Kaggle
zsc-text
749 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
deepnight-research's picture
deepnight-research
Update README.md
0fe6930 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    59 Bytes
    Update README.md over 2 years ago
  • added_tokens.json
    23 Bytes
    Upload 7 files over 2 years ago
  • config.json
    1.06 kB
    Update config.json over 2 years ago
  • model.safetensors
    738 MB
    xet
    Upload 7 files over 2 years ago
  • special_tokens_map.json
    286 Bytes
    Upload 7 files over 2 years ago
  • spm.model
    2.46 MB
    xet
    Upload 7 files over 2 years ago
  • tokenizer.json
    8.66 MB
    Upload 7 files over 2 years ago
  • tokenizer_config.json
    1.26 kB
    Upload 7 files over 2 years ago