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NaoS2
/
multi-kogi3

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

Instructions to use NaoS2/multi-kogi3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use NaoS2/multi-kogi3 with Transformers:

    # Load model directly
    from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
    
    tokenizer = AutoTokenizer.from_pretrained("NaoS2/multi-kogi3")
    model = AutoModelForSeq2SeqLM.from_pretrained("NaoS2/multi-kogi3")
  • Notebooks
  • Google Colab
  • Kaggle
multi-kogi3
Ctrl+K
Ctrl+K
  • 2 contributors
History: 3 commits
ace14460wv
t5-base-japanese-adapt_multi
965fcbd over 3 years ago
  • .gitattributes
    1.48 kB
    initial commit over 3 years ago
  • config.json
    774 Bytes
    json over 3 years ago
  • pytorch_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    990 MB
    xet
    t5-base-japanese-adapt_multi over 3 years ago
  • special_tokens_map.json
    1.79 kB
    json over 3 years ago
  • spiece.model
    766 kB
    xet
    t5-base-japanese-adapt_multi over 3 years ago
  • tokenizer_config.json
    1.97 kB
    json over 3 years ago