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ClarkBear
/
gemma4-e2b-mobile-actions-200-lora

Text Generation
PEFT
Safetensors
gemma4
mobile-actions
function-calling
tool-use
lora
trl
conversational
Model card Files Files and versions
xet
Community

Instructions to use ClarkBear/gemma4-e2b-mobile-actions-200-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use ClarkBear/gemma4-e2b-mobile-actions-200-lora with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("google/gemma-4-E2B-it")
    model = PeftModel.from_pretrained(base_model, "ClarkBear/gemma4-e2b-mobile-actions-200-lora")
  • Notebooks
  • Google Colab
  • Kaggle
gemma4-e2b-mobile-actions-200-lora / examples
5.99 kB
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  • 1 contributor
History: 1 commit
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ClarkBear
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6ee1132 verified 19 days ago
  • README.md
    311 Bytes
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  • run_lora.py
    5.68 kB
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