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kleinay
/
qanom-seq2seq-model-joint

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-joint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

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

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("kleinay/qanom-seq2seq-model-joint")
    model = AutoModelForSeq2SeqLM.from_pretrained("kleinay/qanom-seq2seq-model-joint", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
qanom-seq2seq-model-joint
Ctrl+K
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  • 1 contributor
History: 3 commits
kleinay's picture
kleinay
add tokenizer
7b8f450 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • config.json
    2.35 kB
    add model over 4 years ago
  • pytorch_model.bin
    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