Feature Extraction
Transformers
Safetensors
English
remote-sensing
earth-observation
satellite
multispectral
spatiotemporal
foundation-model
mae
prithvi
hls
vision
Instructions to use BiliSakura/Prithvi-EO-2.0-transformers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BiliSakura/Prithvi-EO-2.0-transformers with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BiliSakura/Prithvi-EO-2.0-transformers")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BiliSakura/Prithvi-EO-2.0-transformers", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "image_processor_type": "PrithviImageProcessor", | |
| "num_channels": 6, | |
| "num_frames": 4, | |
| "size": { | |
| "height": 224, | |
| "width": 224 | |
| }, | |
| "do_resize": false, | |
| "do_rescale": false, | |
| "do_normalize": true, | |
| "do_convert_rgb": false, | |
| "image_mean": [ | |
| 1087.0, | |
| 1342.0, | |
| 1433.0, | |
| 2734.0, | |
| 1958.0, | |
| 1363.0 | |
| ], | |
| "image_std": [ | |
| 2248.0, | |
| 2179.0, | |
| 2178.0, | |
| 1850.0, | |
| 1242.0, | |
| 1049.0 | |
| ], | |
| "auto_map": { | |
| "AutoImageProcessor": "image_processing_prithvi.PrithviImageProcessor" | |
| } | |
| } | |