Create configuration_custom_gpt.py

configuration_custom_gpt.py

@@ -0,0 +1,22 @@
+from transformers import PretrainedConfig
+
+class CustomGPTConfig(PretrainedConfig):
+    model_type = "custom-gpt"
+
+    def __init__(
+        self,
+        block_size=1024,
+        vocab_size=50304,
+        n_layer=12,
+        n_head=12,
+        n_embd=768,
+        intermediate_size=2048,
+        **kwargs,
+    ):
+        self.block_size = block_size
+        self.vocab_size = vocab_size
+        self.n_layer = n_layer
+        self.n_head = n_head
+        self.n_embd = n_embd
+        self.intermediate_size = intermediate_size
+        super().__init__(**kwargs)