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chamdentimem
/
ViT5_Dialogue_Summarization

Transformers
TensorBoard
Safetensors
t5
text2text-generation
Generated from Trainer
text-generation-inference
Model card Files Files and versions
xet
Metrics Training metrics Community

Instructions to use chamdentimem/ViT5_Dialogue_Summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use chamdentimem/ViT5_Dialogue_Summarization with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("chamdentimem/ViT5_Dialogue_Summarization")
    model = AutoModelForSeq2SeqLM.from_pretrained("chamdentimem/ViT5_Dialogue_Summarization")
  • Notebooks
  • Google Colab
  • Kaggle
ViT5_Dialogue_Summarization / logs
29.7 kB
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  • 1 contributor
History: 2 commits
chamdentimem's picture
chamdentimem
End of training
27bc05b verified about 2 years ago
  • events.out.tfevents.1710074082.8b6930b29391.547.0
    11.4 kB
    xet
    End of training about 2 years ago
  • events.out.tfevents.1710079264.8b6930b29391.547.1
    613 Bytes
    xet
    End of training about 2 years ago
  • events.out.tfevents.1711099495.5da5938990cd.1513.0
    4.18 kB
    xet
    End of training about 2 years ago
  • events.out.tfevents.1711099590.5da5938990cd.4571.0
    4.18 kB
    xet
    End of training about 2 years ago
  • events.out.tfevents.1711099755.5da5938990cd.5456.0
    8.7 kB
    xet
    End of training about 2 years ago
  • events.out.tfevents.1711105019.5da5938990cd.5456.1
    613 Bytes
    xet
    End of training about 2 years ago