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muibk
/
t5_emea_20k_en-de

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

Instructions to use muibk/t5_emea_20k_en-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use muibk/t5_emea_20k_en-de with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("muibk/t5_emea_20k_en-de")
    model = AutoModelForSeq2SeqLM.from_pretrained("muibk/t5_emea_20k_en-de")
  • Notebooks
  • Google Colab
  • Kaggle
t5_emea_20k_en-de / runs
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
Michael Ustaszewski
Training in progress, epoch 3
98f8cd7 over 3 years ago
  • Feb03_09-19-15_595329cb7980
    Training in progress, epoch 3 over 3 years ago
  • Feb03_13-41-46_3f4ec5a1ca1e
    Training in progress, epoch 3 over 3 years ago