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Usage

import torch
from exlib.datasets.chestx import ChestXDataset, ChestXPathologyModel
model = ChestXPathologyModel.from_pretrained("BrachioLab/chestx_pathols")
dataset = ChestXDataset(split="test")
dataloader = torch.utils.data.DataLoader(dataset, batch_size=4, shuffle=True)
item = next(iter(dataloader))
out = model(item["image"])
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Model size
7.05M params
Tensor type
F32
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Dataset used to train BrachioLab/chestx_pathols