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Lavinia
/
LoRA_Gemma_FT

Question Answering
Transformers
Safetensors
gemma
text-generation
text-generation-inference
Model card Files Files and versions
xet
Community

Instructions to use Lavinia/LoRA_Gemma_FT with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use Lavinia/LoRA_Gemma_FT with Transformers:

    # Use a pipeline as a high-level helper
    from transformers import pipeline
    
    pipe = pipeline("question-answering", model="Lavinia/LoRA_Gemma_FT")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForCausalLM
    
    tokenizer = AutoTokenizer.from_pretrained("Lavinia/LoRA_Gemma_FT")
    model = AutoModelForCausalLM.from_pretrained("Lavinia/LoRA_Gemma_FT")
  • Notebooks
  • Google Colab
  • Kaggle
LoRA_Gemma_FT
88.9 MB
Ctrl+K
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  • 1 contributor
History: 4 commits
Lavinia's picture
Lavinia
Update README.md
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  • README.md
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  • config.json
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  • generation_config.json
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  • model-00002-of-00002.safetensors
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  • model.safetensors.index.json
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  • special_tokens_map.json
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  • tokenizer.json
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  • tokenizer.model
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  • tokenizer_config.json
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