Arunisto/brain_tumor_dataset
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How to use Arunisto/brain_tumor_classification with Transformers:
# Use a pipeline as a high-level helper
from transformers import pipeline
pipe = pipeline("image-classification", model="Arunisto/brain_tumor_classification")
pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png") # Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("Arunisto/brain_tumor_classification", dtype="auto")This is pre-trained swintransformer model for classify brain tumor.
This model trained with MRI Scan images of brain tumor healthy and tumor
This model can be used to detect two type of brain condition is healthy or tumor
Apache 2.0
If you use this model in your research or projects, please cite it as follows:
@misc{arun-arunisto2024yolov8_bike_odometer,
title={Pre-trained swin transformer model for brain tumor classification},
author={Arun Arunisto},
year={2024},
howpublished={\url{https://huggingface.co/Arunisto/brain_tumor_classification}},
}
Base model
microsoft/swin-tiny-patch4-window7-224