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C2001ljy
/
tapas_sqa_cqa_all

Table Question Answering
Transformers
Safetensors
tapas
Model card Files Files and versions
xet
Community

Instructions to use C2001ljy/tapas_sqa_cqa_all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use C2001ljy/tapas_sqa_cqa_all with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("table-question-answering", model="C2001ljy/tapas_sqa_cqa_all")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("C2001ljy/tapas_sqa_cqa_all")
    model = AutoModelForTableQuestionAnswering.from_pretrained("C2001ljy/tapas_sqa_cqa_all")
  • Notebooks
  • Google Colab
  • Kaggle
tapas_sqa_cqa_all
443 MB
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  • 1 contributor
History: 5 commits
C2001ljy's picture
C2001ljy
Update config.json
b745227 verified almost 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 2 years ago
  • config.json
    1.57 kB
    Update config.json almost 2 years ago
  • model.safetensors
    443 MB
    xet
    Upload fine-tuned Tapas model almost 2 years ago
  • special_tokens_map.json
    177 Bytes
    Upload fine-tuned Tapas model almost 2 years ago
  • tokenizer_config.json
    1.72 kB
    Upload fine-tuned Tapas model almost 2 years ago
  • vocab.txt
    232 kB
    Upload fine-tuned Tapas model almost 2 years ago