diff --git a/paddlex/configs/textline_orientation/PP-LCNet_x1_0_textline_ori.yaml b/paddlex/configs/textline_orientation/PP-LCNet_x1_0_textline_ori.yaml
new file mode 100644
index 000000000..dd0a7c19e
--- /dev/null
+++ b/paddlex/configs/textline_orientation/PP-LCNet_x1_0_textline_ori.yaml
@@ -0,0 +1,41 @@
+Global:
+  model: PP-LCNet_x1_0_textline_ori
+  mode: check_dataset # check_dataset/train/evaluate/predict
+  dataset_dir: "/paddle/dataset/paddlex/cls/textline_orientation_examples"
+  device: gpu:0,1,2,3
+  output: "output"
+
+CheckDataset:
+  convert:
+    enable: False
+    src_dataset_type: null
+  split:
+    enable: False
+    train_percent: null
+    val_percent: null
+
+Train:
+  num_classes: 2
+  epochs_iters: 20
+  batch_size: 32
+  learning_rate: 0.8
+  pretrain_weight_path: null
+  warmup_steps: 100
+  resume_path: null
+  log_interval: 10
+  eval_interval: 1
+  save_interval: 1
+
+Evaluate:
+  weight_path: "output/best_model/best_model.pdparams"
+  log_interval: 10
+
+Export:
+  weight_path: https://paddleclas.bj.bcebos.com/models/PULC/pretrained/textline_orientation_pretrained.pdparams
+
+Predict:
+  batch_size: 1
+  model_dir: "output/best_model/inference"
+  input: "https://paddle-model-ecology.bj.bcebos.com/paddlex/imgs/demo_image/img_textline180_demo.jpg"
+  kernel_option:
+    run_mode: paddle
diff --git a/paddlex/inference/utils/official_models.py b/paddlex/inference/utils/official_models.py
index e4a39c8c3..693572a4a 100644
--- a/paddlex/inference/utils/official_models.py
+++ b/paddlex/inference/utils/official_models.py
@@ -37,6 +37,7 @@
     "PP-LCNet_x0_75": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1_v2/PP-LCNet_x0_75_infer.tar",
     "PP-LCNet_x1_0": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1_v2/PP-LCNet_x1_0_infer.tar",
     "PP-LCNet_x1_0_doc_ori": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1_v2/PP-LCNet_x1_0_doc_ori_infer.tar",
+    "PP-LCNet_x1_0_textline_ori": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1_v2/PP-LCNet_x1_0_textline_ori_infer.tar",
     "PP-LCNet_x1_5": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1_v2/PP-LCNet_x1_5_infer.tar",
     "PP-LCNet_x2_5": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1_v2/PP-LCNet_x2_5_infer.tar",
     "PP-LCNet_x2_0": "https://paddle-model-ecology.bj.bcebos.com/paddlex/official_inference_model/paddle3.0b1_v2/PP-LCNet_x2_0_infer.tar",
diff --git a/paddlex/modules/image_classification/model_list.py b/paddlex/modules/image_classification/model_list.py
index 1d70f8376..41951563f 100644
--- a/paddlex/modules/image_classification/model_list.py
+++ b/paddlex/modules/image_classification/model_list.py
@@ -61,6 +61,7 @@
     "PP-LCNet_x0_75",
     "PP-LCNet_x1_0",
     "PP-LCNet_x1_0_doc_ori",
+    "PP-LCNet_x1_0_textline_ori",
     "PP-LCNet_x1_5",
     "PP-LCNet_x2_0",
     "PP-LCNet_x2_5",
diff --git a/paddlex/repo_apis/PaddleClas_api/cls/register.py b/paddlex/repo_apis/PaddleClas_api/cls/register.py
index 98f321164..67535d53c 100644
--- a/paddlex/repo_apis/PaddleClas_api/cls/register.py
+++ b/paddlex/repo_apis/PaddleClas_api/cls/register.py
@@ -947,3 +947,14 @@
         "hpi_config_path": None,
     }
 )
+
+register_model_info(
+    {
+        "model_name": "PP-LCNet_x1_0_textline_ori",
+        "suite": "Cls",
+        "config_path": osp.join(PDX_CONFIG_DIR, "PP-LCNet_x1_0_textline_ori.yaml"),
+        "supported_apis": ["train", "evaluate", "predict", "export", "infer"],
+        "infer_config": "deploy/configs/inference_cls.yaml",
+        "hpi_config_path": None,
+    }
+)
diff --git a/paddlex/repo_apis/PaddleClas_api/configs/PP-LCNet_x1_0_textline_ori.yaml b/paddlex/repo_apis/PaddleClas_api/configs/PP-LCNet_x1_0_textline_ori.yaml
new file mode 100644
index 000000000..a1f6b86db
--- /dev/null
+++ b/paddlex/repo_apis/PaddleClas_api/configs/PP-LCNet_x1_0_textline_ori.yaml
@@ -0,0 +1,143 @@
+# global configs
+Global:
+  checkpoints: null
+  pretrained_model: null
+  output_dir: ./output/
+  device: gpu
+  save_interval: 1
+  eval_during_train: True
+  start_eval_epoch: 1
+  eval_interval: 1
+  epochs: 20
+  print_batch_step: 10
+  use_visualdl: False
+  # used for static mode and model export
+  image_shape: [3, 80, 160]
+  save_inference_dir: ./inference
+  # training model under @to_static
+  to_static: False
+  use_dali: False
+
+# model architecture
+Arch:
+  name: PPLCNet_x1_0
+  class_num: 2
+  pretrained: True
+  use_ssld: True
+  stride_list: [2, [2, 1], [2, 1], [2, 1], [2, 1]]
+ 
+# loss function config for traing/eval process
+Loss:
+  Train:
+    - CELoss:
+        weight: 1.0
+  Eval:
+    - CELoss:
+        weight: 1.0
+
+
+Optimizer:
+  name: Momentum
+  momentum: 0.9
+  lr:
+    name: Cosine
+    learning_rate: 0.8
+    warmup_epoch: 5
+  regularizer:
+    name: 'L2'
+    coeff: 0.00004
+
+
+# data loader for train and eval
+DataLoader:
+  Train:
+    dataset:
+      name: ImageNetDataset
+      image_root: ./dataset/textline_orientation/
+      cls_label_path: ./dataset/textline_orientation/train_list.txt
+      transform_ops:
+        - DecodeImage:
+            to_rgb: True
+            channel_first: False
+        - ResizeImage:
+            size: [160, 80]
+        - TimmAutoAugment:
+            prob: 1.0
+            config_str: rand-m9-mstd0.5-inc1
+            interpolation: bicubic
+            img_size: [160, 80]
+        - NormalizeImage:
+            scale: 1.0/255.0
+            mean: [0.485, 0.456, 0.406]
+            std: [0.229, 0.224, 0.225]
+            order: ''
+        - RandomErasing:
+            EPSILON: 0.0
+            sl: 0.02
+            sh: 1.0/3.0
+            r1: 0.3
+            attempt: 10
+            use_log_aspect: True
+            mode: pixel
+
+    sampler:
+      name: DistributedBatchSampler
+      batch_size: 16
+      drop_last: False
+      shuffle: True
+    loader:
+      num_workers: 16
+      use_shared_memory: True
+
+  Eval:
+    dataset: 
+      name: ImageNetDataset
+      image_root: ./dataset/textline_orientation/
+      cls_label_path: ./dataset/textline_orientation/val_list.txt
+      transform_ops:
+        - DecodeImage:
+            to_rgb: True
+            channel_first: False
+        - ResizeImage:
+            size: [160, 80]
+        - NormalizeImage:
+            scale: 1.0/255.0
+            mean: [0.485, 0.456, 0.406]
+            std: [0.229, 0.224, 0.225]
+            order: ''
+    sampler:
+      name: DistributedBatchSampler
+      batch_size: 128
+      drop_last: False
+      shuffle: False
+    loader:
+      num_workers: 8
+      use_shared_memory: True
+
+Infer:
+  infer_imgs: deploy/images/PULC/textline_orientation/textline_orientation_test_0_0.png
+  batch_size: 10
+  transforms:
+    - DecodeImage:
+        to_rgb: True
+        channel_first: False
+    - ResizeImage:
+        size: [160, 80]
+    - NormalizeImage:
+        scale: 1.0/255.0
+        mean: [0.485, 0.456, 0.406]
+        std: [0.229, 0.224, 0.225]
+        order: ''
+    - ToCHWImage:
+  PostProcess:
+    name: Topk
+    topk: 1
+    class_id_map_file: ppcls/utils/PULC_label_list/textline_orientation_label_list.txt
+
+Metric:
+  Train:
+    - TopkAcc:
+        topk: [1, 2]
+  Eval:
+    - TopkAcc:
+        topk: [1, 2]