Image Classification
Transformers
TensorBoard
Safetensors
PyTorch
Russian
vit
huggingpics
Eval Results (legacy)
Instructions to use Poliandr/russian-cities with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Poliandr/russian-cities with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Poliandr/russian-cities") 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("Poliandr/russian-cities") model = AutoModelForImageClassification.from_pretrained("Poliandr/russian-cities") - Notebooks
- Google Colab
- Kaggle
russian-cities
Эта модель призвана распознавать картинки пяти наиболее известных городов России: Москвы, Санкт-Петербурга, Калининграда, Екатеринбурга, Смоленска. Модель обучена на 150 картинках для каждого города, найденных поисковой машиной по названию города.
Примеры картинок из датасета
Kaliningrad
Moscow
Saint-Petersburg
Smolensk
Yekaterinburg
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Evaluation results
- Accuracyself-reported0.641




