modify position id blocks.

conversion_utils/text_encoder.py

@@ -102,9 +102,9 @@ def populate_text_encoder(tf_text_encoder: tf.keras.Model) -> Dict[str, torch.Te
                 layer.get_weights()[1]
             )
 
-        # Position ids.
-        text_state_dict["text_model.embeddings.position_ids"] = torch.tensor(
-            list(range(77))
-        ).unsqueeze(0)
+    # Position ids.
+    text_state_dict["text_model.embeddings.position_ids"] = torch.tensor(
+        list(range(MAX_SEQ_LENGTH))
+    ).unsqueeze(0)
 
     return text_state_dict