Instructions to use camlab-ethz/Poseidon-B with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use camlab-ethz/Poseidon-B with Transformers:
# Load model directly from transformers import AutoImageProcessor, SwinForPDE processor = AutoImageProcessor.from_pretrained("camlab-ethz/Poseidon-B") model = SwinForPDE.from_pretrained("camlab-ethz/Poseidon-B", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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The Base model of the Poseidon family with approx. 158M parameters.
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It is trained on a computational grid of size 128 x 128 and expects density, velocity in horizontal direction, velocity in vertical direction, and pressure as inputs.
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The Base model of the Poseidon family with approx. 158M parameters, see https://arxiv.org/abs/2405.19101.
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It is trained on a computational grid of size 128 x 128 and expects density, velocity in horizontal direction, velocity in vertical direction, and pressure as inputs.
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