Image-Text-to-Text
PEFT
Safetensors
English
medgemma
medical-ai
chest-xray
radiology
qlora
spatial-localization
paligemma
conversational
Instructions to use muhammedsayeedurrahman/ExplainMyXray-MedGemma-QLoRA with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PEFT
How to use muhammedsayeedurrahman/ExplainMyXray-MedGemma-QLoRA 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, "muhammedsayeedurrahman/ExplainMyXray-MedGemma-QLoRA") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 47c7da33b9280f7f7a146dda031e24d903b565bc8f0fd1796d1077224f5261ee
- Size of remote file:
- 40 Bytes
- SHA256:
- 60d95b10b6e140a9626a7058d5038528f2ff80148dc4569b881db56052046509
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.