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thealper2
/
tapas-wtq

Table Question Answering
Transformers
Safetensors
English
tapas
wtq
Eval Results (legacy)
Model card Files Files and versions
xet
Community

Instructions to use thealper2/tapas-wtq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use thealper2/tapas-wtq with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("table-question-answering", model="thealper2/tapas-wtq")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForTableQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("thealper2/tapas-wtq")
    model = AutoModelForTableQuestionAnswering.from_pretrained("thealper2/tapas-wtq", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
tapas-wtq
443 MB
Ctrl+K
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  • 1 contributor
History: 3 commits
thealper2's picture
thealper2
Upload TAPAS WTQ model
da2f11d verified 9 days ago
  • plots
    Upload TAPAS WTQ model 9 days ago
  • .gitattributes
    1.52 kB
    initial commit 9 days ago
  • README.md
    2.24 kB
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  • config.json
    1.78 kB
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  • final_metrics.json
    1.69 kB
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  • history.json
    7.87 kB
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  • model.safetensors
    443 MB
    xet
    Upload TAPAS WTQ model 9 days ago
  • tokenizer_config.json
    899 Bytes
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  • training_args.bin
    5.27 kB
    xet
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  • training_config.json
    2.26 kB
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  • vocab.txt
    232 kB
    Upload TAPAS WTQ model 9 days ago