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diwank
/
bartner

Transformers
PyTorch
bart
text2text-generation
Model card Files Files and versions
xet
Community
1

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

  • Libraries
  • Transformers

    How to use diwank/bartner with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("diwank/bartner")
    model = AutoModelForSeq2SeqLM.from_pretrained("diwank/bartner")
  • Notebooks
  • Google Colab
  • Kaggle
bartner
4.88 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
Diwank Tomer
Update README.md
50124b1 almost 4 years ago
  • .gitattributes
    1.34 kB
    initial commit almost 4 years ago
  • README.md
    46 Bytes
    Update README.md almost 4 years ago
  • config.json
    1.66 kB
    feat: Init almost 4 years ago
  • merges.txt
    456 kB
    feat: Init almost 4 years ago
  • optimizer.pt
    3.25 GB
    xet
    feat: Init almost 4 years ago
  • pytorch_model.bin
    1.63 GB
    xet
    feat: Init almost 4 years ago
  • rng_state.pth
    13.5 kB
    xet
    feat: Init almost 4 years ago
  • scheduler.pt
    623 Bytes
    xet
    feat: Init almost 4 years ago
  • special_tokens_map.json
    239 Bytes
    feat: Init almost 4 years ago
  • tokenizer.json
    2.11 MB
    feat: Init almost 4 years ago
  • tokenizer_config.json
    358 Bytes
    feat: Init almost 4 years ago
  • trainer_state.json
    5.27 kB
    feat: Init almost 4 years ago
  • training_args.bin
    3.25 kB
    xet
    feat: Init almost 4 years ago
  • vocab.json
    798 kB
    feat: Init almost 4 years ago