Clone of `tiny-random-beit` with matching config params.

README.md

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+---
+pipeline_tag: image-segmentation
+---
+Make the feature_extractor and model config agree.

config.json

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+{
+  "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,
+  "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": {}
+}

preprocessor_config.json

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+{
+    "crop_size": 224,
+    "do_center_crop": false,
+    "do_normalize": true,
+    "do_resize": true,
+    "feature_extractor_type": "BeitFeatureExtractor",
+    "image_mean": [0.5, 0.5, 0.5],
+    "image_std": [0.5, 0.5, 0.5],
+    "resample": 2,
+    "size": 30
+}

pytorch_model.bin

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+version https://git-lfs.github.com/spec/v1
+oid sha256:0a3df7348a9a4b895daa2c7fedb8360a124d6fabc891357d794e0a55cae0c564
+size 166801