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SouthMemphis
/
t5-small_for_summarization

Transformers
google-tensorflow TensorFlow
t5
text2text-generation
generated_from_keras_callback
Model card Files Files and versions
xet
Community

Instructions to use SouthMemphis/t5-small_for_summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use SouthMemphis/t5-small_for_summarization with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("SouthMemphis/t5-small_for_summarization")
    model = AutoModelForSeq2SeqLM.from_pretrained("SouthMemphis/t5-small_for_summarization")
  • Notebooks
  • Google Colab
  • Kaggle
t5-small_for_summarization
374 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
SouthMemphis's picture
SouthMemphis
Training in progress epoch 0
de40bff over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit over 2 years ago
  • README.md
    1.71 kB
    Training in progress epoch 0 over 2 years ago
  • config.json
    1.47 kB
    Training in progress epoch 0 over 2 years ago
  • generation_config.json
    142 Bytes
    Training in progress epoch 0 over 2 years ago
  • tf_model.h5
    374 MB
    xet
    Training in progress epoch 0 over 2 years ago