add scripts for conversion

scripts/tflite_convert.py

@@ -0,0 +1,15 @@
+from transformers import TFMobileViTForSemanticSegmentation
+import tensorflow as tf
+
+if __name__ == '__main__':
+    model = TFMobileViTForSemanticSegmentation.from_pretrained(".")
+    converter = tf.lite.TFLiteConverter.from_keras_model(model)
+    converter.optimizations = [tf.lite.Optimize.DEFAULT]
+    converter.target_spec.supported_ops = [
+        tf.lite.OpsSet.TFLITE_BUILTINS,
+        tf.lite.OpsSet.SELECT_TF_OPS,
+    ]
+    tflite_model = converter.convert()
+    tflite_filename = "tflite_model.tflite"
+    with open(tflite_filename, "wb") as f:
+        f.write(tflite_model)