Create configuration_sora.py

configuration_sora.py

@@ -0,0 +1,21 @@
+from transformers import PretrainedConfig
+
+class SoraConfig(PretrainedConfig):
+    model_type = "sora_slm"
+
+    def __init__(
+        self,
+        vocab_size=2628,
+        hidden_size=512,
+        num_layers=8,
+        num_heads=8,
+        max_position_embeddings=512,
+        **kwargs
+    ):
+        super().__init__(**kwargs)
+        self.vocab_size = vocab_size
+        self.hidden_size = hidden_size
+        self.num_layers = num_layers
+        self.num_heads = num_heads
+        self.max_position_embeddings = max_position_embeddings
+