Image Classification
Transformers
PyTorch
TensorBoard
Safetensors
vit
huggingpics
Eval Results (legacy)
# Load model directly
from transformers import AutoImageProcessor, AutoModelForImageClassification
processor = AutoImageProcessor.from_pretrained("rizvandwiki/gender-classification-2")
model = AutoModelForImageClassification.from_pretrained("rizvandwiki/gender-classification-2")Quick Links
gender-classification-2
Autogenerated by HuggingPicsπ€πΌοΈ
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
female
male
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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="rizvandwiki/gender-classification-2") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")