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ufal
/
byt5-small-multilexnorm2021-de

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

Instructions to use ufal/byt5-small-multilexnorm2021-de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use ufal/byt5-small-multilexnorm2021-de with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("ufal/byt5-small-multilexnorm2021-de")
    model = AutoModelForSeq2SeqLM.from_pretrained("ufal/byt5-small-multilexnorm2021-de")
  • Notebooks
  • Google Colab
  • Kaggle
byt5-small-multilexnorm2021-de
2.4 GB
Ctrl+K
Ctrl+K
  • 3 contributors
History: 3 commits
foxik's picture
foxik
SFconvertbot's picture
SFconvertbot
Adding `safetensors` variant of this model (#1)
d270332 verified over 1 year ago
  • .gitattributes
    1.23 kB
    Adding `safetensors` variant of this model (#1) over 1 year ago
  • README.md
    2.88 kB
    Initial upload over 4 years ago
  • config.json
    704 Bytes
    Initial upload over 4 years ago
  • model.safetensors
    1.2 GB
    xet
    Adding `safetensors` variant of this model (#1) over 1 year ago
  • pytorch_model.bin
    1.2 GB
    xet
    Initial upload over 4 years ago
  • special_tokens_map.json
    2.5 kB
    Initial upload over 4 years ago
  • tokenizer_config.json
    2.59 kB
    Initial upload over 4 years ago