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", device_map="auto") - Notebooks
- Google Colab
- Kaggle

- Xet hash:
- c84b5dae4bae36d914110a395572dfb2431570b77ee8413213420a6a4fb33d0d
- Size of remote file:
- 15.9 kB
- SHA256:
- f7f2044a87ea26a11bff45d6296653f0f2538095096a72c2b014cb62c9da730d
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