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JulianS
/
jamendo-led-1026

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

Instructions to use JulianS/jamendo-led-1026 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use JulianS/jamendo-led-1026 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("JulianS/jamendo-led-1026")
    model = AutoModelForSeq2SeqLM.from_pretrained("JulianS/jamendo-led-1026")
  • Notebooks
  • Google Colab
  • Kaggle
jamendo-led-1026
742 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 18 commits
JulianS's picture
JulianS
Training in progress, step 340000
6c0a735 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 20000 about 3 years ago
  • config.json
    956 Bytes
    Training in progress, step 20000 about 3 years ago
  • pytorch_model.bin
    742 MB
    xet
    Training in progress, step 340000 about 3 years ago
  • training_args.bin
    3.58 kB
    xet
    Training in progress, step 20000 about 3 years ago