# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("SummerChiam/pond")
model = AutoModelForImageClassification.from_pretrained("SummerChiam/pond")Quick Links
pond
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
Algae0
Boiling0
BoilingNight0
Normal0
NormalCement0
NormalNight0
NormalRain0
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Evaluation results
- Accuracyself-reported0.991
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="SummerChiam/pond") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")