Update tiny models for PatchTSMixerForRegression

config.json

@@ -0,0 +1,57 @@
+{
+  "architectures": [
+    "PatchTSMixerForRegression"
+  ],
+  "channel_consistent_masking": true,
+  "context_length": 32,
+  "d_model": 8,
+  "distribution_output": "student_t",
+  "dropout": 0.5,
+  "dtype": "float32",
+  "expansion_factor": 2,
+  "forecast_mask_ratios": [
+    1,
+    1
+  ],
+  "gated_attn": true,
+  "head_aggregation": null,
+  "head_dropout": 0.2,
+  "init_std": 0.02,
+  "loss": "mse",
+  "mask_mode": "mask_before_encoder",
+  "mask_patches": [
+    2,
+    3
+  ],
+  "mask_type": "forecast",
+  "mask_value": 0,
+  "masked_loss": false,
+  "mode": "common_channel",
+  "model_type": "patchtsmixer",
+  "norm_eps": 1e-05,
+  "norm_mlp": "LayerNorm",
+  "num_forecast_mask_patches": [
+    2
+  ],
+  "num_input_channels": 3,
+  "num_layers": 2,
+  "num_parallel_samples": 100,
+  "num_patches": 4,
+  "num_targets": 3,
+  "out_channels": null,
+  "output_range": null,
+  "patch_last": true,
+  "patch_length": 8,
+  "patch_stride": 8,
+  "positional_encoding_type": "sincos",
+  "prediction_channel_indices": null,
+  "prediction_length": 16,
+  "random_mask_ratio": 0.5,
+  "scaling": "std",
+  "self_attn": false,
+  "self_attn_heads": 1,
+  "swin_hier": 0,
+  "transformers_version": "5.16.0.dev0",
+  "unmasked_channel_indices": null,
+  "use_positional_encoding": false
+}

model.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:cb7882ede4335e1d6fe54a0b0f9803320b88281345b5189ccb14bb7a32c1e77e
+size 11972