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nateraw
/
resnet50

Image Classification
Transformers
PyTorch
resnet
Model card Files
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How to use from the
Use from the
Transformers library
# Use a pipeline as a high-level helper
from transformers import pipeline

pipe = pipeline("image-classification", model="nateraw/resnet50")
pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("nateraw/resnet50", device_map="auto")
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Resnet50 Model from Torchvision

Using the model 

pip install modelz

from modelz import ResnetModel

model = ResnetModel.from_pretrained('nateraw/resnet50')
ex_input = torch.rand(4, 3, 224, 224)
out = model(ex_input)
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