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joheras
/
NASES-clara-med

Transformers
PyTorch
TensorBoard
bart
text2text-generation
simplification
Generated from Trainer
Model card Files Files and versions
xet
Metrics Training metrics Community
1

Instructions to use joheras/NASES-clara-med with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use joheras/NASES-clara-med with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("joheras/NASES-clara-med")
    model = AutoModelForSeq2SeqLM.from_pretrained("joheras/NASES-clara-med", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
NASES-clara-med
1.67 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 33 commits
joheras's picture
joheras
update model card README.md
4adb0d6 over 3 years ago
  • runs
    Training complete over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 500 over 3 years ago
  • README.md
    4.15 kB
    update model card README.md over 3 years ago
  • added_tokens.json
    22 Bytes
    Training in progress, step 500 over 3 years ago
  • config.json
    1.5 kB
    Training in progress, step 500 over 3 years ago
  • merges.txt
    616 kB
    Training in progress, step 500 over 3 years ago
  • pytorch_model.bin
    1.66 GB
    xet
    Training complete over 3 years ago
  • special_tokens_map.json
    957 Bytes
    Training in progress, step 500 over 3 years ago
  • tokenizer.json
    2.66 MB
    Training in progress, step 500 over 3 years ago
  • tokenizer_config.json
    1.36 kB
    Training in progress, step 500 over 3 years ago
  • training_args.bin
    3.52 kB
    xet
    Training in progress, step 500 over 3 years ago
  • vocab.json
    1.03 MB
    Training in progress, step 500 over 3 years ago