Feature Extraction
Transformers
Safetensors
swin
image-feature-extraction
remote-sensing
computer-vision
swin-transformer
building-extraction
change-detection
foundation-model
Instructions to use BiliSakura/RSBuilding-Swin-B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BiliSakura/RSBuilding-Swin-B with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BiliSakura/RSBuilding-Swin-B")# Load model directly from transformers import AutoImageProcessor, AutoModel processor = AutoImageProcessor.from_pretrained("BiliSakura/RSBuilding-Swin-B") model = AutoModel.from_pretrained("BiliSakura/RSBuilding-Swin-B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 290 Bytes
f5dec0e | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | {
"do_resize": true,
"size": {
"height": 384,
"width": 384
},
"resample": 3,
"do_rescale": true,
"rescale_factor": 0.00392156862745098,
"do_normalize": true,
"image_mean": [
0.485,
0.456,
0.406
],
"image_std": [
0.229,
0.224,
0.225
]
}
|