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walkerrose
/
cv_summarization-t5-small

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

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

  • Libraries
  • Transformers

    How to use walkerrose/cv_summarization-t5-small with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("walkerrose/cv_summarization-t5-small")
    model = AutoModelForSeq2SeqLM.from_pretrained("walkerrose/cv_summarization-t5-small")
  • Notebooks
  • Google Colab
  • Kaggle
cv_summarization-t5-small
377 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
walkerrose's picture
walkerrose
Upload tokenizer
04c5586 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • README.md
    2.36 kB
    Upload TFT5ForConditionalGeneration almost 3 years ago
  • config.json
    1.66 kB
    Upload TFT5ForConditionalGeneration almost 3 years ago
  • generation_config.json
    281 Bytes
    Upload TFT5ForConditionalGeneration almost 3 years ago
  • special_tokens_map.json
    2.2 kB
    Upload tokenizer almost 3 years ago
  • spiece.model
    792 kB
    xet
    Upload tokenizer almost 3 years ago
  • tf_model.h5
    374 MB
    xet
    Upload TFT5ForConditionalGeneration almost 3 years ago
  • tokenizer.json
    2.42 MB
    Upload tokenizer almost 3 years ago
  • tokenizer_config.json
    2.32 kB
    Upload tokenizer almost 3 years ago