Update README.md

README.md

@@ -7,6 +7,32 @@ tags: []
 
 <!-- Provide a quick summary of what the model is/does. -->
 
+## Code to create model
+```py
+from transformers import MoonshineConfig, MoonshineForConditionalGeneration, AutoProcessor
+
+model_id = "UsefulSensors/moonshine-tiny"
+config = MoonshineConfig.from_pretrained(
+    model_id,
+    decoder_num_attention_heads=2,
+    decoder_num_hidden_layers=1,
+    decoder_num_key_value_heads=2,
+    encoder_num_attention_heads=2,
+    encoder_num_hidden_layers=1,
+    encoder_num_key_value_heads=2,
+    hidden_size=64,
+    intermediate_size=128,
+)
+
+# Create model and randomize all weights
+model = MoonshineForConditionalGeneration(config)
+
+torch.manual_seed(0) # Set for reproducibility
+for name, param in model.named_parameters():
+    param.data = torch.randn_like(param)
+
+processor = AutoProcessor.from_pretrained(model_id)
+```
 
 
 ## Model Details