polymathic-ai/turbulent_radiative_layer_2D
How To Load from HuggingFace Hub Be sure to have the_well installed (pip install the_well) Use the WellDataModule to retrieve data as follows: from the_well.data import WellDataModule # The following line may take a couple of minutes to instantiate the datamodule datamodule = WellDataModule( "hf://datasets/polymathic-ai/", "turbulent_radiative_layer_2D", ) train_dataloader = datamodule.train_dataloader() for batch in dataloader: # Process training batch ...… See the full description on the dataset page: https://huggingface.co/datasets/polymathic-ai/turbulent_radiative_layer_2D.
| Author / organization | polymathic-ai |
|---|---|
| License (as declared) | cc-by-4.0 |
| Downloads | 1.5K (as reported by Hugging Face) |
| Likes | 3 |
| Created | 3 December 2024 |
| Last updated at source | 10 April 2025 |
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Connected in the knowledge graph
- polymathic-ai/FNO-turbulent_radiative_layer_2DModel · used to train
- polymathic-ai/UNetClassic-turbulent_radiative_layer_2DModel · used to train
- polymathic-ai/TFNO-turbulent_radiative_layer_2DModel · used to train
- polymathic-ai/UNetConvNext-turbulent_radiative_layer_2DModel · used to train
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