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README.md
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# ACTU for Magnitude Regression
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<!-- Provide a quick summary of what the model is/does. -->
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This is ACTU for
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## Model Details
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<!-- Provide a longer summary of what this model is. -->
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This architecture is a temporal UNet (with ConvLSTMs), featuring an LSTM branch to process climate timeseries and a gating mechanism.
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It is designed to receive a timeseries of Sentinel-2 images, DEM, and timeseries of climate variables and output a
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- **Developed by:** Daniele Rege Cambrin
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- **Model type:** ACTU
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The model is integrated into Transformers, so you can easily load it with the following code:
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```python
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AutoModel.from_pretrained("DarthReca/actu-
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```
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Load the model with the desired configuration with the *revision* parameter (the branches of this repo). These configurations are available:
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# ACTU for Magnitude Regression
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<!-- Provide a quick summary of what the model is/does. -->
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This is ACTU for direction classification of MNDWI difference.
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## Model Details
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<!-- Provide a longer summary of what this model is. -->
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This architecture is a temporal UNet (with ConvLSTMs), featuring an LSTM branch to process climate timeseries and a gating mechanism.
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It is designed to receive a timeseries of Sentinel-2 images, DEM, and timeseries of climate variables and output a tri-class mask of future MNDWI direction of change.
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- **Developed by:** Daniele Rege Cambrin
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- **Model type:** ACTU
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The model is integrated into Transformers, so you can easily load it with the following code:
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```python
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AutoModel.from_pretrained("DarthReca/actu-direction-classification", trust_remote_code=True, revision=<model_type>)
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```
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Load the model with the desired configuration with the *revision* parameter (the branches of this repo). These configurations are available:
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