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s3h
/
mt5-small-finetuned-src-to-trg-testing

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

Instructions to use s3h/mt5-small-finetuned-src-to-trg-testing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use s3h/mt5-small-finetuned-src-to-trg-testing with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("s3h/mt5-small-finetuned-src-to-trg-testing")
    model = AutoModelForSeq2SeqLM.from_pretrained("s3h/mt5-small-finetuned-src-to-trg-testing", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
mt5-small-finetuned-src-to-trg-testing
1.21 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
s3h's picture
s3h
update model card README.md
4cc2bcd over 4 years ago
  • runs
    End of training over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • .gitignore
    13 Bytes
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  • README.md
    1.54 kB
    update model card README.md over 4 years ago
  • config.json
    677 Bytes
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  • pytorch_model.bin
    1.2 GB
    xet
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  • special_tokens_map.json
    65 Bytes
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  • spiece.model
    4.31 MB
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  • tokenizer.json
    8.33 MB
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  • tokenizer_config.json
    414 Bytes
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  • training_args.bin

    Detected Pickle imports (5)

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

    How to fix it?

    3.12 kB
    xet
    End of training over 4 years ago