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aseifert
/
byt5-base-jfleg-wi

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

Instructions to use aseifert/byt5-base-jfleg-wi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use aseifert/byt5-base-jfleg-wi with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("aseifert/byt5-base-jfleg-wi")
    model = AutoModelForSeq2SeqLM.from_pretrained("aseifert/byt5-base-jfleg-wi", device_map="auto")
  • Notebooks
  • Google Colab
  • Kaggle
byt5-base-jfleg-wi
2.33 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 3 commits
aseifert's picture
aseifert
add tokenizer
d5c8b9e over 4 years ago
  • .gitattributes
    1.18 kB
    initial commit over 4 years ago
  • config.json
    726 Bytes
    add model over 4 years ago
  • pytorch_model.bin
    2.33 GB
    xet
    add model over 4 years ago
  • special_tokens_map.json
    2.5 kB
    add tokenizer over 4 years ago
  • tokenizer_config.json
    2.89 kB
    add tokenizer over 4 years ago