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usami
/
t5-small-finetuned-xsum

Transformers
PyTorch
t5
text2text-generation
text-generation-inference
Model card Files Files and versions
xet
Community
1

Instructions to use usami/t5-small-finetuned-xsum with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use usami/t5-small-finetuned-xsum with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("usami/t5-small-finetuned-xsum")
    model = AutoModelForSeq2SeqLM.from_pretrained("usami/t5-small-finetuned-xsum")
  • Notebooks
  • Google Colab
  • Kaggle
t5-small-finetuned-xsum
243 MB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 63 commits
usami's picture
usami
Training in progress, step 25500
d942093 over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • .gitignore
    13 Bytes
    Training in progress, step 500 over 4 years ago
  • config.json
    1.38 kB
    Training in progress, step 500 over 4 years ago
  • pytorch_model.bin
    242 MB
    xet
    Training in progress, step 25500 over 4 years ago
  • special_tokens_map.json
    1.79 kB
    Training in progress, step 500 over 4 years ago
  • tokenizer.json
    1.39 MB
    Training in progress, step 500 over 4 years ago
  • tokenizer_config.json
    1.92 kB
    Training in progress, step 500 over 4 years ago
  • training_args.bin

    Detected Pickle imports (5)

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

    How to fix it?

    2.93 kB
    xet
    Training in progress, step 500 over 4 years ago