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Grzgrz
/
deberta-v3-large-squad2-clickbait-spoiling

Question Answering
Transformers
Safetensors
deberta-v2
Model card Files Files and versions
xet
Community

Instructions to use Grzgrz/deberta-v3-large-squad2-clickbait-spoiling with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Grzgrz/deberta-v3-large-squad2-clickbait-spoiling with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="Grzgrz/deberta-v3-large-squad2-clickbait-spoiling")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("Grzgrz/deberta-v3-large-squad2-clickbait-spoiling")
    model = AutoModelForQuestionAnswering.from_pretrained("Grzgrz/deberta-v3-large-squad2-clickbait-spoiling", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
deberta-v3-large-squad2-clickbait-spoiling
1.75 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
Grzegorz P艂aczek
Add model
e5247dc over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    21 Bytes
    initial commit over 2 years ago
  • added_tokens.json
    23 Bytes
    Add model over 2 years ago
  • config.json
    1.05 kB
    Add model over 2 years ago
  • model.safetensors
    1.74 GB
    xet
    Add model over 2 years ago
  • special_tokens_map.json
    971 Bytes
    Add model over 2 years ago
  • spm.model
    2.46 MB
    xet
    Add model over 2 years ago
  • tokenizer.json
    8.65 MB
    Add model over 2 years ago
  • tokenizer_config.json
    1.26 kB
    Add model over 2 years ago