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NaoS2
/
multi-kogi2

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

Instructions to use NaoS2/multi-kogi2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NaoS2/multi-kogi2 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("NaoS2/multi-kogi2")
    model = AutoModelForSeq2SeqLM.from_pretrained("NaoS2/multi-kogi2")
  • Notebooks
  • Google Colab
  • Kaggle
multi-kogi2
1.21 GB
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
ace14460wv
datafix
4d83cdd over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    718 Bytes
    json over 3 years ago
  • pytorch_model.bin
    1.2 GB
    xet
    datafix over 3 years ago
  • special_tokens_map.json
    65 Bytes
    json over 3 years ago
  • spiece.model
    4.46 MB
    xet
    datafix over 3 years ago
  • tokenizer_config.json
    417 Bytes
    json over 3 years ago