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amaye15
/
Stack-Overflow-Zero-Shot-Classification

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

Instructions to use amaye15/Stack-Overflow-Zero-Shot-Classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use amaye15/Stack-Overflow-Zero-Shot-Classification with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("zero-shot-classification", model="amaye15/Stack-Overflow-Zero-Shot-Classification")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSequenceClassification
    
    tokenizer = AutoTokenizer.from_pretrained("amaye15/Stack-Overflow-Zero-Shot-Classification")
    model = AutoModelForSequenceClassification.from_pretrained("amaye15/Stack-Overflow-Zero-Shot-Classification")
  • Notebooks
  • Google Colab
  • Kaggle
Stack-Overflow-Zero-Shot-Classification
1.75 GB
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  • 1 contributor
History: 7 commits
amaye15's picture
amaye15
Update README.md
b41daca over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    1.94 kB
    Update README.md over 2 years ago
  • added_tokens.json
    23 Bytes
    Upload tokenizer over 2 years ago
  • config.json
    1.03 kB
    Upload DebertaV2ForSequenceClassification over 2 years ago
  • model.safetensors
    1.74 GB
    xet
    Upload DebertaV2ForSequenceClassification over 2 years ago
  • special_tokens_map.json
    173 Bytes
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  • spm.model
    2.46 MB
    xet
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  • tokenizer.json
    8.65 MB
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  • tokenizer_config.json
    1.37 kB
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