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TUKE-KEMT
/
slavic-t5-base

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

Instructions to use TUKE-KEMT/slavic-t5-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use TUKE-KEMT/slavic-t5-base with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("TUKE-KEMT/slavic-t5-base")
    model = AutoModelForSeq2SeqLM.from_pretrained("TUKE-KEMT/slavic-t5-base")
  • Notebooks
  • Google Colab
  • Kaggle
slavic-t5-base
1.54 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
dhladek's picture
dhladek
marked as unsafe
75206bb verified over 1 year ago
  • hydra
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  • .gitattributes
    1.52 kB
    initial commit about 2 years ago
  • README.md
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  • config.json
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  • main.log
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  • model.safetensors
    1.53 GB
    xet
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  • optimizer.bin

    Detected Pickle imports (3)

    • "torch.FloatStorage",
    • "torch._utils._rebuild_tensor_v2",
    • "collections.OrderedDict"

    What is a pickle import?

    3.08 MB
    xet
    Upload folder using huggingface_hub about 2 years ago
  • scheduler.bin

    Pickle imports

    • No problematic imports detected

    What is a pickle import?

    819 Bytes
    xet
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  • spiece.model
    2.48 MB
    xet
    Upload folder using huggingface_hub about 2 years ago
  • spiece.vocab
    2.35 MB
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  • tokenizer_config.json
    2.32 kB
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  • tokenizer_config_sample.json
    2.4 kB
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  • train-model.sh
    340 Bytes
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