Fixing the weights.

config.json

@@ -1,25 +1,48 @@
 {
-    "attention_probs_dropout_prob": 0.1,
-    "drop_path_rate": 0.1,
-    "hidden_act": "gelu",
-    "hidden_dropout_prob": 0.1,
-    "hidden_size": 32,
-    "image_size": 30,
-    "initializer_range": 0.02,
-    "intermediate_size": 37,
-    "layer_norm_eps": 1e-12,
-    "layer_scale_init_value": 0.1,
-    "model_type": "beit",
-    "num_attention_heads": 4,
-    "num_channels": 3,
-    "num_hidden_layers": 5,
-    "out_indices": [0, 1, 2, 3],
-    "patch_size": 2,
-    "transformers_version": "4.11.0.dev0",
-    "use_absolute_position_embeddings": false,
-    "use_mask_token": false,
-    "use_mean_pooling": true,
-    "use_relative_position_bias": false,
-    "use_shared_relative_position_bias": false,
-    "vocab_size": {}
+  "_name_or_path": "hf-internal-testing/tiny-random-beit-pipeline",
+  "architectures": [
+    "BeitForSemanticSegmentation"
+  ],
+  "attention_probs_dropout_prob": 0.1,
+  "auxiliary_channels": 256,
+  "auxiliary_concat_input": false,
+  "auxiliary_loss_weight": 0.4,
+  "auxiliary_num_convs": 1,
+  "drop_path_rate": 0.1,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 32,
+  "image_size": 30,
+  "initializer_range": 0.02,
+  "intermediate_size": 37,
+  "layer_norm_eps": 1e-12,
+  "layer_scale_init_value": 0.1,
+  "legacy_output": false,
+  "model_type": "beit",
+  "num_attention_heads": 4,
+  "num_channels": 3,
+  "num_hidden_layers": 5,
+  "out_indices": [
+    0,
+    1,
+    2,
+    3
+  ],
+  "patch_size": 2,
+  "pool_scales": [
+    1,
+    2,
+    3,
+    6
+  ],
+  "semantic_loss_ignore_index": 255,
+  "torch_dtype": "float32",
+  "transformers_version": "4.17.0.dev0",
+  "use_absolute_position_embeddings": false,
+  "use_auxiliary_head": true,
+  "use_mask_token": false,
+  "use_mean_pooling": true,
+  "use_relative_position_bias": false,
+  "use_shared_relative_position_bias": false,
+  "vocab_size": {}
 }

pytorch_model.bin

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0a3df7348a9a4b895daa2c7fedb8360a124d6fabc891357d794e0a55cae0c564
-size 166801
+oid sha256:d23c842c97b4d5221ece3a283580b4ae1e8f29a149d067cdcec33a2dfa0591ca
+size 1032151