Image Classification
Transformers
TensorBoard
Safetensors
PyTorch
vit
huggingpics
Eval Results (legacy)
Instructions to use yuejunasia/rare-brand with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yuejunasia/rare-brand with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="yuejunasia/rare-brand") 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("yuejunasia/rare-brand") model = AutoModelForImageClassification.from_pretrained("yuejunasia/rare-brand") - Notebooks
- Google Colab
- Kaggle
rare-brand
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
ANTA
LINING
New Balance
adidas
brooks
nike
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Evaluation results
- Accuracyself-reported0.602





