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config.json

@@ -1,37 +1,37 @@
 {
-  _name_or_path: prajjwal1/bert-tiny,
-  architectures: [
-    BertForSequenceClassification
+  "_name_or_path": "prajjwal1/bert-tiny",
+  "architectures": [
+    "BertForSequenceClassification"
   ],
-  attention_probs_dropout_prob: 0.1,
-  classifier_dropout: null,
-  gradient_checkpointing: false,
-  hidden_act: gelu,
-  hidden_dropout_prob: 0.1,
-  hidden_size: 128,
-  id2label: {
-    0: human,
-    1: ai
+  "attention_probs_dropout_prob": 0.1,
+  "classifier_dropout": null,
+  "gradient_checkpointing": false,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.1,
+  "hidden_size": 128,
+  "id2label": {
+    "0": "human",
+    "1": "ai"
   },
-  initializer_range: 0.02,
-  intermediate_size: 512,
-  label2id: {
-    ai: 1,
-    human: 0
+  "initializer_range": 0.02,
+  "intermediate_size": 512,
+  "label2id": {
+    "ai": 1,
+    "human": 0
   },
-  layer_norm_eps: 1e-12,
-  max_position_embeddings: 512,
-  model_type: bert,
-  num_attention_heads: 2,
-  num_hidden_layers: 2,
-  num_labels: 2,
-  output_attentions: false,
-  output_hidden_states: false,
-  pad_token_id: 0,
-  position_embedding_type: absolute,
-  torch_dtype: float32,
-  transformers_version: 4.41.0,
-  type_vocab_size: 2,
-  use_cache: true,
-  vocab_size: 30522
-}
+  "layer_norm_eps": 1e-12,
+  "max_position_embeddings": 512,
+  "model_type": "bert",
+  "num_attention_heads": 2,
+  "num_hidden_layers": 2,
+  "num_labels": 2,
+  "output_attentions": false,
+  "output_hidden_states": false,
+  "pad_token_id": 0,
+  "position_embedding_type": "absolute",
+  "torch_dtype": "float32",
+  "transformers_version": "4.41.0",
+  "type_vocab_size": 2,
+  "use_cache": true,
+  "vocab_size": 30522
+}