Image Classification
Transformers
TensorBoard
Safetensors
English
swin
satellite-imagery
eurosat
remote-sensing
transformer
swin-transformer
land-use-classification
synthetic-aperture-radar
sar
Eval Results (legacy)
Instructions to use Adilbai/EuroSAT-Swin with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Adilbai/EuroSAT-Swin with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-classification", model="Adilbai/EuroSAT-Swin") pipe("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/hub/parrots.png")# Load model directly from transformers import AutoImageProcessor, EuroSATTransformerClassifier processor = AutoImageProcessor.from_pretrained("Adilbai/EuroSAT-Swin") model = EuroSATTransformerClassifier.from_pretrained("Adilbai/EuroSAT-Swin") - Notebooks
- Google Colab
- Kaggle
Welcome to the community
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