Duplicate from camlab-ethz/Poseidon-T

Co-authored-by: Maximilian Herde <maximilianherde@users.noreply.huggingface.co>

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README.md

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+---
+license: cc-by-nc-4.0
+datasets:
+- camlab-ethz/CE-CRP
+- camlab-ethz/CE-RP
+- camlab-ethz/CE-KH
+- camlab-ethz/CE-Gauss
+- camlab-ethz/NS-Sines
+- camlab-ethz/NS-Gauss
+---
+
+The Tiny model of the Poseidon family with approx. 21M parameters, see https://arxiv.org/abs/2405.19101.
+
+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.
+
+This is a **research model**.

config.json

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+{
+  "architectures": [
+    "SwinForPDE"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "channel_slice_list_normalized_loss": [
+    0,
+    1,
+    3,
+    4
+  ],
+  "depths": [
+    4,
+    4,
+    4,
+    4
+  ],
+  "drop_path_rate": 0.0,
+  "embed_dim": 48,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 384,
+  "image_size": 128,
+  "initializer_range": 0.02,
+  "layer_norm_eps": 1e-05,
+  "learn_residual": false,
+  "mlp_ratio": 4.0,
+  "model_type": "swinv2",
+  "num_channels": 4,
+  "num_heads": [
+    3,
+    6,
+    12,
+    24
+  ],
+  "num_layers": 4,
+  "num_out_channels": 4,
+  "p": 1,
+  "patch_size": 4,
+  "pretrained_window_sizes": [
+    0,
+    0,
+    0,
+    0
+  ],
+  "qkv_bias": true,
+  "residual_model": "convnext",
+  "skip_connections": [
+    2,
+    2,
+    2,
+    0
+  ],
+  "torch_dtype": "float32",
+  "transformers_version": "4.29.2",
+  "use_absolute_embeddings": false,
+  "use_conditioning": true,
+  "window_size": 16
+}

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