updated README.md

README.md

@@ -37,10 +37,14 @@ To chain many operators or models into one graph, follow these steps:
 ```python
 import numpy as np
 from kornia.onnx import ONNXSequential
-# Initialize ONNXSequential with two models
-onnx_seq = ONNXSequential("kornia.color.gray.RgbToGrayscale.onnx", "kornia.geometry.transform.flips.Hflip.onnx")
+# Chain ONNX models from HuggingFace repo and your own local model together
+onnx_seq = ONNXSequential(
+    "hf://operators/kornia.color.gray.RgbToGrayscale",
+    "hf://operators/kornia.geometry.transform.affwarp.Resize_512x512",
+    "YOUR_OWN_MODEL.onnx"
+)
 # Prepare some input data
-input_data = np.random.randn(1, 3, 224, 224).astype(np.float32)
+input_data = np.random.randn(1, 3, 384, 512).astype(np.float32)
 # Perform inference
 outputs = onnx_seq(input_data)
 # Print the model outputs