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
| { | |
| "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" | |
| } | |
| } | |