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abecode
/
t5-base-finetuned-emo20q-classification

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 abecode/t5-base-finetuned-emo20q-classification with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use abecode/t5-base-finetuned-emo20q-classification with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("abecode/t5-base-finetuned-emo20q-classification")
    model = AutoModelForSeq2SeqLM.from_pretrained("abecode/t5-base-finetuned-emo20q-classification")
  • Notebooks
  • Google Colab
  • Kaggle
t5-base-finetuned-emo20q-classification / runs
145 kB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 2 commits
abecode's picture
abecode
End of training
05785cd almost 4 years ago
  • Jul19_16-58-41_95d3a07206c0
    Training in progress, step 500 almost 4 years ago
  • Jul19_17-17-56_95d3a07206c0
    Training in progress, step 500 almost 4 years ago
  • Jul19_17-24-19_95d3a07206c0
    Training in progress, step 500 almost 4 years ago
  • Jul19_17-41-28_95d3a07206c0
    Training in progress, step 500 almost 4 years ago
  • Jul19_17-43-12_95d3a07206c0
    Training in progress, step 500 almost 4 years ago
  • Jul19_17-48-09_95d3a07206c0
    Training in progress, step 500 almost 4 years ago
  • Jul19_17-51-07_95d3a07206c0
    Training in progress, step 500 almost 4 years ago
  • Jul19_18-07-13_95d3a07206c0
    Training in progress, step 500 almost 4 years ago
  • Jul19_18-27-39_95d3a07206c0
    End of training almost 4 years ago