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uzlm
/
Korean-Gemma-2B-Instruct

Question Answering
Transformers
Safetensors
Korean
English
llama
text-generation
translation
summarization
tokenizer
Model card Files Files and versions
xet
Community

Instructions to use uzlm/Korean-Gemma-2B-Instruct with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use uzlm/Korean-Gemma-2B-Instruct with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="uzlm/Korean-Gemma-2B-Instruct")
    # Load model directly
    from transformers import AutoModel
    model = AutoModel.from_pretrained("uzlm/Korean-Gemma-2B-Instruct", dtype="auto")
  • Notebooks
  • Google Colab
  • Kaggle
Korean-Gemma-2B-Instruct
5.37 GB
Ctrl+K
Ctrl+K
  • 1 contributor
History: 6 commits
bxod's picture
bxod
Update README.md
2619d5a verified 5 months ago
  • .gitattributes
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  • README.md
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  • added_tokens.json
    519 kB
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  • chat_template.jinja
    591 Bytes
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  • config.json
    819 Bytes
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  • generation_config.json
    187 Bytes
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  • model-00001-of-00002.safetensors
    1.27 GB
    xet
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  • model-00002-of-00002.safetensors
    4.05 GB
    xet
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  • model.safetensors.index.json
    24.2 kB
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  • special_tokens_map.json
    636 Bytes
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  • tokenizer.json
    38.1 MB
    xet
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  • tokenizer.model
    4.24 MB
    xet
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  • tokenizer_config.json
    3.6 MB
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