Upload config

config.json

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+{
+  "auto_map": {
+    "AutoConfig": "config.BharatAIConfig"
+  },
+  "dropout": 0.2,
+  "model_type": "BharatAI",
+  "n_embd": 384,
+  "n_head": 4,
+  "n_layer": 4,
+  "transformers_version": "4.36.0.dev0",
+  "vocab_size": 1000
+}

config.py

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+
+from transformers import PretrainedConfig
+class BharatAIConfig(PretrainedConfig):
+    model_type = "BharatAI"  # Change to the appropriate model type name
+
+    def __init__(
+        self,
+        vocab_size:int=1000,
+        n_embd:int=384,
+        n_head:int=4,
+        n_layer:int=4,
+        dropout:float=0.2,
+        **kwargs
+    ):
+        self.vocab_size = vocab_size
+        self.n_embd = n_embd
+        self.n_head = n_head
+        self.n_layer = n_layer
+        self.dropout = dropout
+        super().__init__(**kwargs)
+