Image Classification
Transformers
PyTorch
TensorBoard
ONNX
Safetensors
vit
huggingpics
Eval Results (legacy)
Instructions to use enzostvs/hair-color with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use enzostvs/hair-color with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="enzostvs/hair-color") 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("enzostvs/hair-color") model = AutoModelForImageClassification.from_pretrained("enzostvs/hair-color") - Notebooks
- Google Colab
- Kaggle
hair-color
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
black hair
blond hair
completely bald
red hair
white hair
- Downloads last month
- 58
Evaluation results
- Accuracyself-reported0.732




