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guo1006
/
t5-base-summarize

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

Instructions to use guo1006/t5-base-summarize with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use guo1006/t5-base-summarize with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("guo1006/t5-base-summarize")
    model = AutoModelForSeq2SeqLM.from_pretrained("guo1006/t5-base-summarize")
  • Notebooks
  • Google Colab
  • Kaggle
t5-base-summarize
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  • 1 contributor
History: 5 commits
guo1006's picture
guo1006
Upload tokenizer
965d01c verified about 1 year ago
  • .gitattributes
    1.52 kB
    initial commit about 1 year ago
  • README.md
    1.77 kB
    Upload TFT5ForConditionalGeneration about 1 year ago
  • config.json
    1.45 kB
    Upload TFT5ForConditionalGeneration about 1 year ago
  • generation_config.json
    142 Bytes
    Upload TFT5ForConditionalGeneration about 1 year ago
  • special_tokens_map.json
    2.2 kB
    Upload tokenizer about 1 year ago
  • spiece.model
    792 kB
    xet
    Upload tokenizer about 1 year ago
  • tf_model.h5
    1.09 GB
    xet
    Upload TFT5ForConditionalGeneration about 1 year ago
  • tokenizer.json
    2.42 MB
    Upload tokenizer about 1 year ago
  • tokenizer_config.json
    20.8 kB
    Upload tokenizer about 1 year ago