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Smaraa
/
bart-text-simplification_1e4_adafactor_biendata

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

Instructions to use Smaraa/bart-text-simplification_1e4_adafactor_biendata with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Smaraa/bart-text-simplification_1e4_adafactor_biendata with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("Smaraa/bart-text-simplification_1e4_adafactor_biendata")
    model = AutoModelForSeq2SeqLM.from_pretrained("Smaraa/bart-text-simplification_1e4_adafactor_biendata")
  • Notebooks
  • Google Colab
  • Kaggle
bart-text-simplification_1e4_adafactor_biendata
562 MB
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  • 1 contributor
History: 15 commits
Smaraa's picture
Smaraa
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  • .gitattributes
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  • .gitignore
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  • README.md
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  • config.json
    1.74 kB
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  • eval_0 (6).csv
    85 Bytes
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  • generation_config.json
    262 Bytes
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  • merges.txt
    456 kB
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  • predictions_0 (6).csv
    190 kB
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  • pytorch_model.bin
    558 MB
    xet
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  • 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
    349 Bytes
    Training in progress, step 500 almost 3 years ago
  • training_args.bin
    4.16 kB
    xet
    Training in progress, step 500 almost 3 years ago
  • vocab.json
    798 kB
    Training in progress, step 500 almost 3 years ago