Instructions to use ayushadarsh7/gemma3_lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ayushadarsh7/gemma3_lora with Transformers:
# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("ayushadarsh7/gemma3_lora", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Update HyperParameters.md
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HyperParameters.md
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parser = argparse.ArgumentParser(description="Train Gemma model with LoRA")
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parser.add_argument("--model_id", type=str, default="google/gemma-3-4b-it",
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help="Base model ID (default: google/gemma-3-4b-it)")
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help="LoRA alpha parameter (default: 16)")
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parser.add_argument("--merge_and_save", action="store_true",
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help="Merge LoRA adapter with base model and save")
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```
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parser = argparse.ArgumentParser(description="Train Gemma model with LoRA")
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parser.add_argument("--model_id", type=str, default="google/gemma-3-4b-it",
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help="Base model ID (default: google/gemma-3-4b-it)")
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help="LoRA alpha parameter (default: 16)")
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parser.add_argument("--merge_and_save", action="store_true",
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help="Merge LoRA adapter with base model and save")
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```
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