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GuysTrans
/
bart-base-re-attention-seq-512

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

Instructions to use GuysTrans/bart-base-re-attention-seq-512 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use GuysTrans/bart-base-re-attention-seq-512 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("GuysTrans/bart-base-re-attention-seq-512")
    model = AutoModelForSeq2SeqLM.from_pretrained("GuysTrans/bart-base-re-attention-seq-512", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
bart-base-re-attention-seq-512
561 MB
Ctrl+K
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  • 1 contributor
History: 1246 commits
GuysTrans's picture
GuysTrans
Training in progress, step 5500
27a6e43 over 2 years ago
  • .gitattributes
    1.52 kB
    initial commit almost 3 years ago
  • README.md
    1.46 kB
    End of training over 2 years ago
  • config.json
    1.78 kB
    Training in progress, step 500 over 2 years ago
  • generation_config.json
    282 Bytes
    End of training over 2 years ago
  • merges.txt
    456 kB
    Training in progress, step 500 almost 3 years ago
  • pytorch_model.bin
    558 MB
    xet
    Training in progress, step 5500 over 2 years ago
  • special_tokens_map.json
    280 Bytes
    Training in progress, step 500 almost 3 years ago
  • tokenizer.json
    2.11 MB
    Training in progress, step 500 almost 3 years ago
  • tokenizer_config.json
    457 Bytes
    Training in progress, step 500 over 2 years ago
  • training_args.bin
    4.22 kB
    xet
    Training in progress, step 500 over 2 years ago
  • vocab.json
    798 kB
    Training in progress, step 500 almost 3 years ago