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ericrisco
/
medical-gemma-3n-lora

PEFT
Safetensors
English
medical
emergency
first-aid
healthcare
offline
gemma3n
lora
adapter
unsloth
Model card Files Files and versions
xet
Community

Instructions to use ericrisco/medical-gemma-3n-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • PEFT

    How to use ericrisco/medical-gemma-3n-lora with PEFT:

    from peft import PeftModel
    from transformers import AutoModelForCausalLM
    
    base_model = AutoModelForCausalLM.from_pretrained("unsloth/gemma-3n-e4b-it-unsloth-bnb-4bit")
    model = PeftModel.from_pretrained(base_model, "ericrisco/medical-gemma-3n-lora")
  • Notebooks
  • Google Colab
  • Kaggle
  • Local Apps Settings
  • Unsloth Desktop
medical-gemma-3n-lora
193 MB
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  • 1 contributor
History: 7 commits
ericrisco's picture
ericrisco
Update README.md
db93b25 verified over 1 year ago
  • .gitattributes
    1.57 kB
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  • README.md
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  • adapter_config.json
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  • adapter_model.bin

    Detected Pickle imports (3)

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

    What is a pickle import?

    77 MB
    xet
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  • adapter_model.safetensors
    76.9 MB
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  • chat_template.jinja
    1.53 kB
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  • preprocessor_config.json
    1.09 kB
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  • processor_config.json
    98 Bytes
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  • special_tokens_map.json
    777 Bytes
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  • tokenizer.json
    33.4 MB
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  • tokenizer.model
    4.7 MB
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  • tokenizer_config.json
    1.2 MB
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