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KrushiJethe
/
Final_BART_summarization

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

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

  • Libraries
  • Transformers

    How to use KrushiJethe/Final_BART_summarization with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("KrushiJethe/Final_BART_summarization")
    model = AutoModelForSeq2SeqLM.from_pretrained("KrushiJethe/Final_BART_summarization")
  • Notebooks
  • Google Colab
  • Kaggle
Final_BART_summarization
2.45 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 7 commits
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model
d43b052 verified over 1 year ago
  • runs
    Training in progress, step 2500 about 3 years ago
  • .gitattributes
    1.48 kB
    initial commit about 3 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 500 about 3 years ago
  • config.json
    1.88 kB
    Training in progress, step 500 about 3 years ago
  • merges.txt
    456 kB
    Training in progress, step 500 about 3 years ago
  • model.safetensors
    1.22 GB
    xet
    Adding `safetensors` variant of this model over 1 year ago
  • pytorch_model.bin
    1.22 GB
    xet
    Training in progress, step 2500 about 3 years ago
  • special_tokens_map.json
    957 Bytes
    Training in progress, step 500 about 3 years ago
  • tokenizer.json
    2.11 MB
    Training in progress, step 500 about 3 years ago
  • tokenizer_config.json
    1.34 kB
    Training in progress, step 500 about 3 years ago
  • training_args.bin

    Detected Pickle imports (6)

    • "transformers.trainer_utils.SchedulerType",
    • "torch.device",
    • "transformers.training_args.OptimizerNames",
    • "transformers.trainer_utils.IntervalStrategy",
    • "transformers.training_args_seq2seq.Seq2SeqTrainingArguments",
    • "transformers.trainer_utils.HubStrategy"

    How to fix it?

    3.77 kB
    xet
    Training in progress, step 500 about 3 years ago
  • vocab.json
    798 kB
    Training in progress, step 500 about 3 years ago