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obss
/
bsm-pegasus-xsum-multi

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

Instructions to use obss/bsm-pegasus-xsum-multi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use obss/bsm-pegasus-xsum-multi with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("obss/bsm-pegasus-xsum-multi")
    model = AutoModelForSeq2SeqLM.from_pretrained("obss/bsm-pegasus-xsum-multi")
  • Notebooks
  • Google Colab
  • Kaggle
bsm-pegasus-xsum-multi
9.13 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 830 commits
Sophylax's picture
Sophylax
Training in progress, epoch 20
1d90d4b over 3 years ago
  • last-checkpoint
    Training in progress, epoch 20 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
  • config.json
    1.43 kB
    Training in progress, step 500 over 3 years ago
  • pytorch_model.bin
    2.28 GB
    xet
    Training in progress, epoch 20 over 3 years ago
  • special_tokens_map.json
    1.34 kB
    Training in progress, step 500 over 3 years ago
  • spiece.model
    1.91 MB
    xet
    Training in progress, step 500 over 3 years ago
  • tokenizer.json
    6.6 MB
    Training in progress, step 500 over 3 years ago
  • tokenizer_config.json
    1.55 kB
    Training in progress, step 500 over 3 years ago
  • training_args.bin
    3.31 kB
    xet
    Training in progress, epoch 1 over 3 years ago