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npc-engine
/
t5-base-mse-summarization

Transformers
PyTorch
TensorBoard
t5
text2text-generation
Generated from Trainer
text-generation-inference
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use npc-engine/t5-base-mse-summarization with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use npc-engine/t5-base-mse-summarization with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("npc-engine/t5-base-mse-summarization")
    model = AutoModelForSeq2SeqLM.from_pretrained("npc-engine/t5-base-mse-summarization")
  • Notebooks
  • Google Colab
  • Kaggle
t5-base-mse-summarization / runs
72.5 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 4 commits
eublefar's picture
eublefar
End of training
10973b5 over 3 years ago
  • Aug30_21-15-20_b433dd09085c
    Training in progress, epoch 1 over 3 years ago
  • Aug30_21-48-18_b433dd09085c
    Training in progress, epoch 1 over 3 years ago
  • Aug30_21-49-43_b433dd09085c
    End of training over 3 years ago