Image-Text-to-Text
PEFT
Safetensors
English
medgemma
lora
medical-ai
chest-xray
thoracic-disease
hai-def
radiology
conversational
Instructions to use efecelik/medgemma-chest-xray-lora with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use efecelik/medgemma-chest-xray-lora with PEFT:
from peft import PeftModel from transformers import AutoModelForCausalLM base_model = AutoModelForCausalLM.from_pretrained("google/medgemma-4b-it") model = PeftModel.from_pretrained(base_model, "efecelik/medgemma-chest-xray-lora") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 21fb1a94262bdc63e73de66748e9c44793ad9a0e25fd77ba52fa4b828cf7f57f
- Size of remote file:
- 2.84 GB
- SHA256:
- e72a3cec9c9b2ec14b310910830c369201c974f5f083b21a05f798d960150328
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