diff --git a/examples/recipes/cross-encoder_ms-marco-MiniLM-L4-v2/cpu/cpu/text-classification_fp16_config.json b/examples/recipes/cross-encoder_ms-marco-MiniLM-L4-v2/cpu/cpu/text-classification_fp16_config.json
new file mode 100644
index 000000000..ca353cc30
--- /dev/null
+++ b/examples/recipes/cross-encoder_ms-marco-MiniLM-L4-v2/cpu/cpu/text-classification_fp16_config.json
@@ -0,0 +1,65 @@
+{
+  "export": {
+    "opset_version": 17,
+    "batch_size": 1,
+    "export_params": true,
+    "do_constant_folding": true,
+    "verbose": false,
+    "dynamo": false,
+    "enable_hierarchy_tags": true,
+    "clean_onnx": false,
+    "hierarchy_tag_format": "full",
+    "input_tensors": [
+      {
+        "name": "input_ids",
+        "dtype": "int32",
+        "shape": [1, 512],
+        "value_range": [0, 30522]
+      },
+      {
+        "name": "attention_mask",
+        "dtype": "int32",
+        "shape": [1, 512],
+        "value_range": [0, 2]
+      },
+      {
+        "name": "token_type_ids",
+        "dtype": "int32",
+        "shape": [1, 512],
+        "value_range": [0, 2]
+      }
+    ],
+    "output_tensors": [
+      {
+        "name": "logits"
+      }
+    ]
+  },
+  "optim": {},
+  "quant": {
+    "mode": "fp16",
+    "samples": 10,
+    "calibration_method": "minmax",
+    "weight_type": "uint8",
+    "activation_type": "uint8",
+    "per_channel": false,
+    "symmetric": false,
+    "weight_symmetric": null,
+    "activation_symmetric": null,
+    "save_calibration": false,
+    "distribution": "uniform",
+    "seed": null,
+    "calibration_load_path": null,
+    "calibration_save_path": null,
+    "op_types_to_quantize": null,
+    "nodes_to_exclude": null,
+    "fp16_keep_io_types": true,
+    "fp16_op_block_list": null
+  },
+  "compile": null,
+  "loader": {
+    "task": "text-classification",
+    "model_class": "AutoModelForSequenceClassification",
+    "model_type": "bert"
+  }
+}
diff --git a/examples/recipes/cross-encoder_ms-marco-MiniLM-L4-v2/cpu/cpu/text-classification_fp32_config.json b/examples/recipes/cross-encoder_ms-marco-MiniLM-L4-v2/cpu/cpu/text-classification_fp32_config.json
new file mode 100644
index 000000000..eb9f77384
--- /dev/null
+++ b/examples/recipes/cross-encoder_ms-marco-MiniLM-L4-v2/cpu/cpu/text-classification_fp32_config.json
@@ -0,0 +1,46 @@
+{
+  "export": {
+    "opset_version": 17,
+    "batch_size": 1,
+    "export_params": true,
+    "do_constant_folding": true,
+    "verbose": false,
+    "dynamo": false,
+    "enable_hierarchy_tags": true,
+    "clean_onnx": false,
+    "hierarchy_tag_format": "full",
+    "input_tensors": [
+      {
+        "name": "input_ids",
+        "dtype": "int32",
+        "shape": [1, 512],
+        "value_range": [0, 30522]
+      },
+      {
+        "name": "attention_mask",
+        "dtype": "int32",
+        "shape": [1, 512],
+        "value_range": [0, 2]
+      },
+      {
+        "name": "token_type_ids",
+        "dtype": "int32",
+        "shape": [1, 512],
+        "value_range": [0, 2]
+      }
+    ],
+    "output_tensors": [
+      {
+        "name": "logits"
+      }
+    ]
+  },
+  "optim": {},
+  "quant": null,
+  "compile": null,
+  "loader": {
+    "task": "text-classification",
+    "model_class": "AutoModelForSequenceClassification",
+    "model_type": "bert"
+  }
+}
diff --git a/examples/recipes/cross-encoder_ms-marco-MiniLM-L4-v2/dml/gpu/text-classification_fp16_config.json b/examples/recipes/cross-encoder_ms-marco-MiniLM-L4-v2/dml/gpu/text-classification_fp16_config.json
new file mode 100644
index 000000000..ca353cc30
--- /dev/null
+++ b/examples/recipes/cross-encoder_ms-marco-MiniLM-L4-v2/dml/gpu/text-classification_fp16_config.json
@@ -0,0 +1,65 @@
+{
+  "export": {
+    "opset_version": 17,
+    "batch_size": 1,
+    "export_params": true,
+    "do_constant_folding": true,
+    "verbose": false,
+    "dynamo": false,
+    "enable_hierarchy_tags": true,
+    "clean_onnx": false,
+    "hierarchy_tag_format": "full",
+    "input_tensors": [
+      {
+        "name": "input_ids",
+        "dtype": "int32",
+        "shape": [1, 512],
+        "value_range": [0, 30522]
+      },
+      {
+        "name": "attention_mask",
+        "dtype": "int32",
+        "shape": [1, 512],
+        "value_range": [0, 2]
+      },
+      {
+        "name": "token_type_ids",
+        "dtype": "int32",
+        "shape": [1, 512],
+        "value_range": [0, 2]
+      }
+    ],
+    "output_tensors": [
+      {
+        "name": "logits"
+      }
+    ]
+  },
+  "optim": {},
+  "quant": {
+    "mode": "fp16",
+    "samples": 10,
+    "calibration_method": "minmax",
+    "weight_type": "uint8",
+    "activation_type": "uint8",
+    "per_channel": false,
+    "symmetric": false,
+    "weight_symmetric": null,
+    "activation_symmetric": null,
+    "save_calibration": false,
+    "distribution": "uniform",
+    "seed": null,
+    "calibration_load_path": null,
+    "calibration_save_path": null,
+    "op_types_to_quantize": null,
+    "nodes_to_exclude": null,
+    "fp16_keep_io_types": true,
+    "fp16_op_block_list": null
+  },
+  "compile": null,
+  "loader": {
+    "task": "text-classification",
+    "model_class": "AutoModelForSequenceClassification",
+    "model_type": "bert"
+  }
+}
diff --git a/examples/recipes/cross-encoder_ms-marco-MiniLM-L4-v2/dml/gpu/text-classification_fp32_config.json b/examples/recipes/cross-encoder_ms-marco-MiniLM-L4-v2/dml/gpu/text-classification_fp32_config.json
new file mode 100644
index 000000000..eb9f77384
--- /dev/null
+++ b/examples/recipes/cross-encoder_ms-marco-MiniLM-L4-v2/dml/gpu/text-classification_fp32_config.json
@@ -0,0 +1,46 @@
+{
+  "export": {
+    "opset_version": 17,
+    "batch_size": 1,
+    "export_params": true,
+    "do_constant_folding": true,
+    "verbose": false,
+    "dynamo": false,
+    "enable_hierarchy_tags": true,
+    "clean_onnx": false,
+    "hierarchy_tag_format": "full",
+    "input_tensors": [
+      {
+        "name": "input_ids",
+        "dtype": "int32",
+        "shape": [1, 512],
+        "value_range": [0, 30522]
+      },
+      {
+        "name": "attention_mask",
+        "dtype": "int32",
+        "shape": [1, 512],
+        "value_range": [0, 2]
+      },
+      {
+        "name": "token_type_ids",
+        "dtype": "int32",
+        "shape": [1, 512],
+        "value_range": [0, 2]
+      }
+    ],
+    "output_tensors": [
+      {
+        "name": "logits"
+      }
+    ]
+  },
+  "optim": {},
+  "quant": null,
+  "compile": null,
+  "loader": {
+    "task": "text-classification",
+    "model_class": "AutoModelForSequenceClassification",
+    "model_type": "bert"
+  }
+}