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daydrill
/
table_qa_0

Question Answering
Transformers
PyTorch
bert
Model card Files Files and versions
xet
Community
1

Instructions to use daydrill/table_qa_0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use daydrill/table_qa_0 with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="daydrill/table_qa_0")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForQuestionAnswering
    
    tokenizer = AutoTokenizer.from_pretrained("daydrill/table_qa_0")
    model = AutoModelForQuestionAnswering.from_pretrained("daydrill/table_qa_0")
  • Notebooks
  • Google Colab
  • Kaggle
table_qa_0 / last-checkpoint
1.32 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 9 commits
daydrill's picture
daydrill
Training in progress, step 4500
04fee03 over 3 years ago
  • added_tokens.json
    339 Bytes
    Training in progress, step 500 over 3 years ago
  • config.json
    635 Bytes
    Training in progress, step 500 over 3 years ago
  • optimizer.pt
    880 MB
    xet
    Training in progress, step 4500 over 3 years ago
  • pytorch_model.bin
    440 MB
    xet
    Training in progress, step 4500 over 3 years ago
  • rng_state.pth
    14.5 kB
    xet
    Training in progress, step 4500 over 3 years ago
  • scheduler.pt
    623 Bytes
    xet
    Training in progress, step 4500 over 3 years ago
  • special_tokens_map.json
    413 Bytes
    Training in progress, step 500 over 3 years ago
  • tokenizer.json
    755 kB
    Training in progress, step 500 over 3 years ago
  • tokenizer_config.json
    532 Bytes
    Training in progress, step 500 over 3 years ago
  • trainer_state.json
    4.01 kB
    Training in progress, step 4500 over 3 years ago
  • training_args.bin
    3.44 kB
    xet
    Training in progress, step 500 over 3 years ago
  • vocab.txt
    248 kB
    Training in progress, step 500 over 3 years ago