Feature Extraction
Transformers
Safetensors
English
remote-sensing
earth-observation
self-supervised-learning
satellite
multispectral
multimodal
anysat
Instructions to use BiliSakura/AnySat-transformers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BiliSakura/AnySat-transformers with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BiliSakura/AnySat-transformers")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BiliSakura/AnySat-transformers", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 373 Bytes
6f76ec7 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | {
"processor_class": "AnySatProcessor",
"normalize": true,
"patch_size": 10,
"output": "patch",
"modalities": [
"aerial",
"aerial-flair",
"spot",
"naip",
"s2",
"s1-asc",
"s1",
"alos",
"l7",
"l8",
"modis"
],
"normalization_stats": null,
"auto_map": {
"AutoProcessor": "processing_anysat.AnySatProcessor"
}
}
|