Сделал отдельный конфиг для Kaggle.

configs/rec_custom.yml

@@ -1,11 +1,11 @@
 Global:
   model_name: PP-OCRv5_server_rec # To use static model for inference.
   debug: false
-  use_gpu: true
+  use_gpu: false
   epoch_num: 75
   log_smooth_window: 20
   print_batch_step: 10
-  save_model_dir: /kaggle/output/PP-OCRv5_server_rec
+  save_model_dir: output/PP-OCRv5_server_rec
   save_epoch_step: 1
   eval_batch_step: [0, 2000]
   cal_metric_during_train: true
@@ -14,13 +14,13 @@ Global:
   checkpoints:
   save_inference_dir:
   use_visualdl: false
-  infer_img: /kaggle/input/custom-ocr-dataset/images/1C4HJXEN3MW645094.jpg
-  character_dict_path: /kaggle/input/custom-ocr-dataset/dict.txt
+  infer_img: train_data/images/1C4HJXEN3MW645094.jpg
+  character_dict_path: train_data/dict.txt
   max_text_length: &max_text_length 19
   infer_mode: false
   use_space_char: true
   distributed: true
-  save_res_path: /kaggle/output/rec/predicts_ppocrv5.txt
+  save_res_path: output/rec/predicts_ppocrv5.txt
   d2s_train_image_shape: [3, 48, 320]
 
 
@@ -78,10 +78,10 @@ Train:
   dataset:
     name: MultiScaleDataSet
     ds_width: false
-    data_dir: /kaggle/input/custom-ocr-dataset/images
+    data_dir: train_data/images
     ext_op_transform_idx: 1
     label_file_list:
-    - /kaggle/input/custom-ocr-dataset/train.txt
+    - train_data/train.txt
     transforms:
     - DecodeImage:
         img_mode: BGR
@@ -110,9 +110,9 @@ Train:
 Eval:
   dataset:
     name: SimpleDataSet
-    data_dir: /kaggle/input/custom-ocr-dataset/images
+    data_dir: train_data/images
     label_file_list:
-    - /kaggle/input/custom-ocr-dataset/val.txt
+    - train_data/val.txt
     transforms:
     - DecodeImage:
         img_mode: BGR