Instructions to use torchgeo/ftw with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- TorchGeo
How to use torchgeo/ftw with TorchGeo:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
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Download README.md from torchgeo/ftw: direct link, hf CLI and curl.
- Browser
- Download file 558 Bytes
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https://huggingface.co/torchgeo/ftw/resolve/main/README.md
- Command line
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hf download hf://torchgeo/ftw/README.md
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curl -L -o README.md https://huggingface.co/torchgeo/ftw/resolve/main/README.md
558 Bytes
| license: mit | |
| library_name: torchgeo | |
| tags: | |
| - geospatial | |
| Redistribution of checkpoints from [ftw-baselines v1 release](https://github.com/fieldsoftheworld/ftw-baselines/releases/tag/v1). | |
| Model weights are modified using `convert.py` script. | |
| Note that weights in the `commercial` folder allow for commercial use, while weights in the `noncommercial` are strictly for non-commercial / academic purposes and trained on non-commercial licensed data. See the [ftw-baselines repo](https://github.com/fieldsoftheworld/ftw-baselines/) for more information. |