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semindan
/
mt5_qam

Transformers
PyTorch
mt5
text2text-generation
Model card Files Files and versions
xet
Community

Instructions to use semindan/mt5_qam with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use semindan/mt5_qam with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("semindan/mt5_qam")
    model = AutoModelForSeq2SeqLM.from_pretrained("semindan/mt5_qam")
  • Notebooks
  • Google Colab
  • Kaggle
mt5_qam
Ctrl+K
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  • 2 contributors
History: 2 commits
semindan's picture
semindan
Upload MT5ForConditionalGeneration
6c8b464 almost 3 years ago
  • .gitattributes
    1.48 kB
    initial commit almost 3 years ago
  • config.json
    977 Bytes
    Upload MT5ForConditionalGeneration almost 3 years ago
  • generation_config.json
    142 Bytes
    Upload MT5ForConditionalGeneration almost 3 years ago
  • pytorch_model.bin
    2.33 GB
    xet
    Upload MT5ForConditionalGeneration almost 3 years ago