Instructions to use chradden/generation_xyz with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use chradden/generation_xyz with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="chradden/generation_xyz") 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("chradden/generation_xyz") model = AutoModelForImageClassification.from_pretrained("chradden/generation_xyz") - Notebooks
- Google Colab
- Kaggle
generation_xyz
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
Baby Boomers
Generation Alpha
Generation X
Generation Z
Millennials
- Downloads last month
- 3
Evaluation results
- Accuracyself-reported0.550




