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NLPinas
/
EMoT5-tl

Transformers
PyTorch
t5
text2text-generation
text-generation-inference
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xet
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1

Instructions to use NLPinas/EMoT5-tl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NLPinas/EMoT5-tl with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("NLPinas/EMoT5-tl")
    model = AutoModelForSeq2SeqLM.from_pretrained("NLPinas/EMoT5-tl")
  • Notebooks
  • Google Colab
  • Kaggle

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Collection including NLPinas/EMoT5-tl

EMoTES-3K

Collection
Dataset and models featured in the paper "Emotion-based Morality in Tagalog and English Scenarios (EMoTES-3K): A Parallel Corpus for Explaining". • 5 items • Updated Jan 11, 2024
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