Instructions to use embed2scale/TerraCodec-1.0-FP-S2L2A with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TerraTorch
How to use embed2scale/TerraCodec-1.0-FP-S2L2A with TerraTorch:
from terratorch.registry import BACKBONE_REGISTRY model = BACKBONE_REGISTRY.build("embed2scale/TerraCodec-1.0-FP-S2L2A") - Notebooks
- Google Colab
- Kaggle
Download config_lambda-2.yaml from embed2scale/TerraCodec-1.0-FP-S2L2A: direct link, hf CLI and curl.
- Browser
- Download file 87 Bytes
-
https://huggingface.co/embed2scale/TerraCodec-1.0-FP-S2L2A/resolve/7481cdfa85acf87437ffabb8a1ad414d5406f1cb/config_lambda-2.yaml
- Command line
-
hf download hf://embed2scale/TerraCodec-1.0-FP-S2L2A@7481cdfa85acf87437ffabb8a1ad414d5406f1cb/config_lambda-2.yaml
-
curl -L -o config_lambda-2.yaml https://huggingface.co/embed2scale/TerraCodec-1.0-FP-S2L2A/resolve/7481cdfa85acf87437ffabb8a1ad414d5406f1cb/config_lambda-2.yaml
87 Bytes
| architecture: factorized_prior | |
| modality: S2L2A | |
| in_channels: 12 | |
| lmbda: 2.0 | |
| N: 128 | |
| M: 128 |