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intanm
/
ct-kld-mdeberta-webis

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

Instructions to use intanm/ct-kld-mdeberta-webis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use intanm/ct-kld-mdeberta-webis with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="intanm/ct-kld-mdeberta-webis")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("intanm/ct-kld-mdeberta-webis")
    model = AutoModelForQuestionAnswering.from_pretrained("intanm/ct-kld-mdeberta-webis")
  • Notebooks
  • Google Colab
  • Kaggle
ct-kld-mdeberta-webis
1.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
intanm's picture
intanm
Upload tokenizer
d1d34ce over 2 years ago
  • .gitattributes
    1.57 kB
    Upload tokenizer over 2 years ago
  • added_tokens.json
    23 Bytes
    Upload tokenizer over 2 years ago
  • config.json
    876 Bytes
    Upload DebertaV2ForQuestionAnswering over 2 years ago
  • model.safetensors
    1.11 GB
    xet
    Upload DebertaV2ForQuestionAnswering over 2 years ago
  • special_tokens_map.json
    286 Bytes
    Upload tokenizer over 2 years ago
  • spm.model
    4.31 MB
    xet
    Upload tokenizer over 2 years ago
  • tokenizer.json
    16.3 MB
    xet
    Upload tokenizer over 2 years ago
  • tokenizer_config.json
    1.28 kB
    Upload tokenizer over 2 years ago