Update README.md

README.md

@@ -51,8 +51,9 @@ model = create_model(
     control_frequency=control_frequency,
 )
 # Start inference process
+# Load pre-computed language embeddings
 lang_embeddings_path = 'your/language/embedding/path' 
-text_embedding = torch.load(lang_embeddings_path)['embeddings']  # Pre-computed language embeddings
+text_embedding = torch.load(lang_embeddings_path)['embeddings']  
 images: List(PIL.Image) = ... #  The images from last 2 frame
 proprio = ... # The current robot state
 # Perform inference to predict the next chunk_size actions