Feature Extraction
Transformers
Safetensors
English
remote-sensing
earth-observation
satellite
aerial
multispectral
vision
satlaspretrain
Instructions to use BiliSakura/SATLAS-transformers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BiliSakura/SATLAS-transformers with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BiliSakura/SATLAS-transformers")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BiliSakura/SATLAS-transformers", dtype="auto") - Notebooks
- Google Colab
- Kaggle
Ctrl+K
- satlaspretrain-aerial-swinb-mi
- satlaspretrain-aerial-swinb-si
- satlaspretrain-landsat-swinb-mi
- satlaspretrain-landsat-swinb-si
- satlaspretrain-sentinel2-resnet152-mi-ms
- satlaspretrain-sentinel2-resnet152-mi-rgb
- satlaspretrain-sentinel2-resnet152-si-ms
- satlaspretrain-sentinel2-resnet152-si-rgb
- satlaspretrain-sentinel2-resnet50-mi-ms
- satlaspretrain-sentinel2-resnet50-mi-rgb
- satlaspretrain-sentinel2-resnet50-si-rgb
- satlaspretrain-sentinel2-swinb-mi-ms
- satlaspretrain-sentinel2-swinb-mi-rgb
- satlaspretrain-sentinel2-swinb-si-ms
- satlaspretrain-sentinel2-swinb-si-rgb
- satlaspretrain-sentinel2-swint-mi-ms
- satlaspretrain-sentinel2-swint-mi-rgb
- satlaspretrain-sentinel2-swint-si-ms
- satlaspretrain-sentinel2-swint-si-rgb
- 1.52 kB
- 4.65 kB