Feature Extraction
Transformers
Safetensors
English
remote-sensing
earth-observation
self-supervised-learning
semantic-segmentation
vision
s5
s4p
vit
Instructions to use BiliSakura/S5-transformers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BiliSakura/S5-transformers with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BiliSakura/S5-transformers")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BiliSakura/S5-transformers", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 432 Bytes
96e3a14 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | {
"image_processor_type": "S5ImageProcessor",
"size": {
"height": 512,
"width": 512
},
"do_resize": false,
"do_rescale": true,
"rescale_factor": 0.00392156862745098,
"do_normalize": true,
"do_convert_rgb": true,
"image_mean": [
0.485,
0.456,
0.406
],
"image_std": [
0.229,
0.224,
0.225
],
"auto_map": {
"AutoImageProcessor": "image_processing_s5.S5ImageProcessor"
}
}
|