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pain
/
text2svg_summarization-words-test

Transformers
PyTorch
mt5
text2text-generation
Generated from Trainer
Model card Files Files and versions
xet
Community
1

Instructions to use pain/text2svg_summarization-words-test with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use pain/text2svg_summarization-words-test with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("pain/text2svg_summarization-words-test")
    model = AutoModelForSeq2SeqLM.from_pretrained("pain/text2svg_summarization-words-test")
  • Notebooks
  • Google Colab
  • Kaggle
text2svg_summarization-words-test
1.35 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 504 commits
pain's picture
pain
End of training
b05b695 over 2 years ago
  • .gitattributes
    1.57 kB
    Model save over 2 years ago
  • README.md
    1.1 kB
    Model save over 2 years ago
  • added_tokens.json
    888 kB
    Model save over 2 years ago
  • all_results.json
    195 Bytes
    End of training over 2 years ago
  • config.json
    807 Bytes
    Model save over 2 years ago
  • generation_config.json
    147 Bytes
    Model save over 2 years ago
  • pytorch_model.bin
    1.32 GB
    xet
    Training in progress, epoch 1000 over 2 years ago
  • special_tokens_map.json
    74 Bytes
    Model save over 2 years ago
  • spiece.model
    4.31 MB
    xet
    Model save over 2 years ago
  • tokenizer.json
    22.1 MB
    xet
    Model save over 2 years ago
  • tokenizer_config.json
    5.5 MB
    Model save over 2 years ago
  • train_results.json
    195 Bytes
    End of training over 2 years ago
  • trainer_state.json
    113 kB
    End of training over 2 years ago
  • training_args.bin

    Detected Pickle imports (8)

    • "transformers.training_args.OptimizerNames",
    • "transformers.trainer_utils.SchedulerType",
    • "accelerate.utils.dataclasses.DistributedType",
    • "transformers.training_args_seq2seq.Seq2SeqTrainingArguments",
    • "transformers.trainer_utils.IntervalStrategy",
    • "transformers.trainer_utils.HubStrategy",
    • "torch.device",
    • "accelerate.state.PartialState"

    How to fix it?

    4.86 kB
    xet
    Training in progress, epoch 501 over 2 years ago