# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("BehradG/resnet-18-MRI-Brain")
model = AutoModelForImageClassification.from_pretrained("BehradG/resnet-18-MRI-Brain")Quick Links
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Training Details
Training Data
https://huggingface.co/datasets/tanzuhuggingface/brainmri
Training Procedure
The restnet18 model was fin-tuned with P100 GPU for 200 epochs. Both calibration and validation losses decined constantly during the fine-tuning showing no sign of overfitting. The final accuracy was 97.9%.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="BehradG/resnet-18-MRI-Brain") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")