Image Segmentation
Transformers
Safetensors
actu
climate
geospatial
remote-sensing
spatiotemporal
multi-modal
earth-observation
time-series
hydrology
Instructions to use DarthReca/actu-magnitude-regression with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use DarthReca/actu-magnitude-regression with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("image-segmentation", model="DarthReca/actu-magnitude-regression")# Load model directly from transformers import ACTUForImageSegmentation model = ACTUForImageSegmentation.from_pretrained("DarthReca/actu-magnitude-regression", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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| Revision | Backbone | DEM | Climate |
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| main | ConvNeXtV2 Base |
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| dem-climate | ConvNeXtV2 Base |
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## Training Details
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The model is pre-trained on Landsat-5 images and fine-tuned on Sentinel-2 of HydroChronos.
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| Revision | Backbone | DEM | Climate |
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| main | ConvNeXtV2 Base | No | No |
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| dem-climate | ConvNeXtV2 Base | Yes | Yes |
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## Training Details
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The model is pre-trained on Landsat-5 images and fine-tuned on Sentinel-2 of HydroChronos.
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