Feature Extraction
Transformers
Safetensors
English
remote-sensing
earth-observation
self-supervised-learning
sentinel-2
sentinel-1
multispectral
sar
vision
ssl4eo
mae
moco
dino
data2vec
vit
resnet
Instructions to use BiliSakura/SSL4EO-S12-transformers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BiliSakura/SSL4EO-S12-transformers with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BiliSakura/SSL4EO-S12-transformers")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BiliSakura/SSL4EO-S12-transformers", device_map="auto") - Notebooks
- Google Colab
- Kaggle
File size: 347 Bytes
2999792 096602f 2999792 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 | {
"image_processor_type": "SSL4EOViTImageProcessor",
"size": {
"height": 224,
"width": 224
},
"do_resize": false,
"do_rescale": true,
"do_normalize": false,
"do_convert_rgb": false,
"rescale_factor": 0.00392156862745098,
"auto_map": {
"AutoImageProcessor": "image_processing_ssl4eo_vit.SSL4EOViTImageProcessor"
}
}
|