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SloNSteady
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cities

Image Classification
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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="SloNSteady/cities")
pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")
# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification

processor = AutoImageProcessor.from_pretrained("SloNSteady/cities")
model = AutoModelForImageClassification.from_pretrained("SloNSteady/cities")
Quick Links

cities

Autogenerated by HuggingPics🤗🖼️

Create your own image classifier for anything by running the demo on Google Colab.

Report any issues with the demo at the github repo.

Example Images

Hongkong

Hongkong

New York city

New York city

Seoul

Seoul

Tokyo

Tokyo

Washington DC

Washington DC

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Model size
85.8M params
Tensor type
F32
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Evaluation results