# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("mvaloatto/bald-or-not")
model = AutoModelForImageClassification.from_pretrained("mvaloatto/bald-or-not")Quick Links
bald or not?
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
bald
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Space using mvaloatto/bald-or-not 1
Evaluation results
- Accuracyself-reported0.303
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="mvaloatto/bald-or-not") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")