| --- |
| tags: |
| - pytorch |
| - safetensors |
| - windformer |
| - esawaai |
| --- |
| |
| # WindFormer |
|
|
| *Developed for the ESAWAAI Project and ESAWAAI Legacy Dataset HF Bucket* |
|
|
| A PyTorch implementation that loads a pre-trained `WindFormerDist` architecture and prepares it in evaluation mode for inference. |
|
|
| ## Requirements |
|
|
| Ensure the necessary dependencies are installed: |
|
|
| ```bash |
| pip install torch safetensors |
| ``` |
|
|
| *Note: CUDA is utilized automatically when available; otherwise, execution defaults to the CPU.* |
|
|
| ## File Structure |
|
|
| | **File** | **Description** | |
| | :--- | :--- | |
| | `main.py` | Script to load the model weights and set it to evaluation mode | |
| | `windformer.py` | Model architecture definition for `WindFormerDist` | |
| | `model.safetensors` | Pre-trained model weights | |
|
|
| ## Execution |
|
|
| To run the model inference pipeline: |
|
|
| ```bash |
| python main.py |
| ``` |
|
|
| ## Model Weights & Configuration |
|
|
| Weights are stored using [Safetensors](https://github.com/huggingface/safetensors). |
|
|
| > **Important:** The instantiation parameters (e.g., `WindFormerDist(fusion=False)`) must strictly match the configuration used during training. Any discrepancy will cause `load_state_dict` to fail due to missing or unexpected keys. |
|
|
| ## Cite |
|
|
| Benchaabane, A., Toft, L. D. D. S., Ristea, N.-C., Dimitriadou, K., Husson, R., Hasager, C. B., Anghel, A., Longépé, N., Mouche, A., Grouazel, A., & Datcu, M. (2026). Explainable SAR measurements for Wind Assessment with Artificial Intelligence (ESAWAAI). |
|
|
| ## License |
|
|
| This dataset and its associated documentation are released under the terms of the [Creative Commons Attribution 4.0 International (CC-BY 4.0)](https://creativecommons.org/licenses/by/4.0/) license. |
