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vaishali
/
multitabqa-base-atis

Table Question Answering
Transformers
PyTorch
Safetensors
English
bart
text2text-generation
multitabqa
multi-table-question-answering
Model card Files Files and versions
xet
Community
1

Instructions to use vaishali/multitabqa-base-atis with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use vaishali/multitabqa-base-atis with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("table-question-answering", model="vaishali/multitabqa-base-atis")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("vaishali/multitabqa-base-atis")
    model = AutoModelForSeq2SeqLM.from_pretrained("vaishali/multitabqa-base-atis", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
multitabqa-base-atis
6.79 kB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 2 commits
vaishali's picture
vaishali
Update README.md
c61dda2 about 3 years ago
  • .gitattributes
    1.52 kB
    initial commit about 3 years ago
  • README.md
    5.27 kB
    Update README.md about 3 years ago