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
Update config.json
Browse files- config.json +1 -1
config.json
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"architectures": [
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"EuroSATTransformerClassifier"
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],
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"model_type": "
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"num_labels": 10,
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"id2label": {
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"0": "AnnualCrop",
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"architectures": [
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"EuroSATTransformerClassifier"
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],
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"model_type": "swin",
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"num_labels": 10,
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"id2label": {
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"0": "AnnualCrop",
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