fix tests for #29175

.gitattributes

@@ -1,35 +1,27 @@
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-*.safetensors filter=lfs diff=lfs merge=lfs -text
-saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text 
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+*.zstandard filter=lfs diff=lfs merge=lfs -text
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config.json

@@ -1,12 +1,12 @@
 {
-  "_name_or_path": "hf-internal-testing/test_dynamic_model",
+  "_name_or_path": "hf-internal-testing/tiny-bert",
   "architectures": [
     "NewModel"
   ],
   "attention_probs_dropout_prob": 0.1,
   "auto_map": {
-    "AutoConfig": "hf-internal-testing/test_dynamic_model--configuration.NewModelConfig",
-    "AutoModel": "hf-internal-testing/test_dynamic_model--modeling.NewModel"
+    "AutoConfig": "configuration.NewModelConfig",
+    "AutoModel": "modeling.NewModel"
   },
   "classifier_dropout": null,
   "hidden_act": "gelu",
@@ -23,7 +23,7 @@
   "pad_token_id": 0,
   "position_embedding_type": "absolute",
   "torch_dtype": "float32",
-  "transformers_version": "4.39.0.dev0",
+  "transformers_version": "4.16.0.dev0",
   "type_vocab_size": 2,
   "use_cache": true,
   "vocab_size": 30522

configuration.py

@@ -0,0 +1,9 @@
+
+from transformers import BertConfig
+
+class NewModelConfig(BertConfig):
+    model_type = "new-model"
+    
+    def __init__(self, *args, new_hidden_size=12, **kwargs):
+        super().__init__(*args, **kwargs)
+        self.new_hidden_size = new_hidden_size

modeling.py

@@ -0,0 +1,11 @@
+import torch
+from transformers import BertModel
+
+from .configuration import NewModelConfig
+
+class NewModel(BertModel):
+    config_class = NewModelConfig
+
+    def __init__(self, config):
+        super().__init__(config)
+        self.last_layer = torch.nn.Linear(config.hidden_size, config.new_hidden_size)

pytorch_model.bin

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:abe537dcbbc0a24d9d81979744669d1f8d7adca535f81cb76f68c42b3fe18ace
+size 17568615