Feature Extraction
Transformers
Safetensors
English
remote-sensing
earth-observation
self-supervised-learning
satellite
multispectral
vision
satmae
satmae-pp
vit
mae
Instructions to use BiliSakura/SATMAE-PP-transformers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use BiliSakura/SATMAE-PP-transformers with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="BiliSakura/SATMAE-PP-transformers")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("BiliSakura/SATMAE-PP-transformers", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "architectures": [ | |
| "SatMAEppModel" | |
| ], | |
| "attention_probs_dropout_prob": 0.0, | |
| "channel_embed_dim": 256, | |
| "channel_groups": [ | |
| [ | |
| 0, | |
| 1, | |
| 2, | |
| 6 | |
| ], | |
| [ | |
| 3, | |
| 4, | |
| 5, | |
| 7 | |
| ], | |
| [ | |
| 8, | |
| 9 | |
| ] | |
| ], | |
| "channel_order": "rgb", | |
| "checkpoint_stage": "pretrain", | |
| "dataset": "fmow_sentinel", | |
| "dtype": "float32", | |
| "encoder_type": "group_channel", | |
| "global_pool": true, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.0, | |
| "hidden_size": 1024, | |
| "id2label": {}, | |
| "image_mean": [ | |
| 1184.3824625, | |
| 1120.77120066, | |
| 1136.26026392, | |
| 1263.73947144, | |
| 1645.40315151, | |
| 1846.87040806, | |
| 1762.59530783, | |
| 1972.62420416, | |
| 1732.16362238, | |
| 1247.91870117 | |
| ], | |
| "image_size": 96, | |
| "image_std": [ | |
| 650.2842772, | |
| 712.12507725, | |
| 965.23119807, | |
| 948.9819932, | |
| 1108.06650639, | |
| 1258.36394548, | |
| 1233.1492281, | |
| 1364.38688993, | |
| 1310.36996126, | |
| 1087.6020813 | |
| ], | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4096, | |
| "label2id": {}, | |
| "layer_norm_eps": 1e-06, | |
| "mlp_ratio": 4.0, | |
| "model_type": "satmae_pp", | |
| "num_attention_heads": 16, | |
| "num_channels": 10, | |
| "num_hidden_layers": 24, | |
| "patch_size": 8, | |
| "qkv_bias": true, | |
| "transformers_version": "5.0.0", | |
| "auto_map": { | |
| "AutoConfig": "modeling_satmae_pp.SatMAEppConfig", | |
| "AutoModel": "modeling_satmae_pp.SatMAEppModel", | |
| "AutoModelForImageClassification": "modeling_satmae_pp.SatMAEppForImageClassification" | |
| }, | |
| "custom_pipelines": { | |
| "satmae-pp-feature-extraction": { | |
| "impl": "pipeline_satmae_pp.SatMAEppImageFeatureExtractionPipeline", | |
| "pt": [ | |
| "AutoModel" | |
| ] | |
| } | |
| } | |
| } | |