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kleinay
/
qanom-seq2seq-model-baseline

Transformers
PyTorch
English
t5
text2text-generation
semantic-role-labeling
question-answer generation
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use kleinay/qanom-seq2seq-model-baseline with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use kleinay/qanom-seq2seq-model-baseline with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("kleinay/qanom-seq2seq-model-baseline")
    model = AutoModelForSeq2SeqLM.from_pretrained("kleinay/qanom-seq2seq-model-baseline")
  • Notebooks
  • Google Colab
  • Kaggle
qanom-seq2seq-model-baseline
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  • 1 contributor
History: 13 commits
kleinay's picture
kleinay
add update_config
417ef6d about 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • README.md
    3.18 kB
    Update README.md over 4 years ago
  • config.json
    1.45 kB
    add model over 4 years ago
  • pipeline.py
    11 kB
    add update_config about 4 years ago
  • preprocessing_kwargs.json
    403 Bytes
    Upload preprocessing_kwargs.json over 4 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

    • "torch._utils._rebuild_tensor_v2",
    • "torch.FloatStorage",
    • "collections.OrderedDict"

    What is a pickle import?

    242 MB
    xet
    add model over 4 years ago
  • special_tokens_map.json
    1.79 kB
    add tokenizer over 4 years ago
  • tokenizer.json
    1.39 MB
    add tokenizer over 4 years ago
  • tokenizer_config.json
    1.96 kB
    add tokenizer over 4 years ago