Instructions to use cledoux42/GenderNew_v002 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use cledoux42/GenderNew_v002 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="cledoux42/GenderNew_v002") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# pip install -U transformers accelerate # Load model directly from transformers import AutoImageProcessor, AutoModelForImageClassification processor = AutoImageProcessor.from_pretrained("cledoux42/GenderNew_v002") model = AutoModelForImageClassification.from_pretrained("cledoux42/GenderNew_v002", device_map="auto") - Notebooks
- Google Colab
- Kaggle
GenderNew_v002
Autogenerated by HuggingPics๐ค๐ผ๏ธ
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
man
woman
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Evaluation results
- Accuracyself-reported0.986

