diff --git a/src/models/resizer/inference.py b/src/models/resizer/inference.py
index 92b1ba3..a9c6eeb 100644
--- a/src/models/resizer/inference.py
+++ b/src/models/resizer/inference.py
@@ -11,36 +11,6 @@ from .utils import preprocess_fn
 from munch import Munch
 
 
-def load_resizer():
-    model = Resizer.from_pretrained('/home/lhy/code/TeXify/src/models/resizer/train/res_wo_sigmoid_train_result_v2/checkpoint-96000')
-    model.eval()
-    return model
-
-
-def load_teller():
-    arguments = Munch(
-    {
-        'config': '/home/lhy/code/LaTeX-OCR/pix2tex/model/checkpoints/pix2tex/config.yaml',
-        'checkpoint': '/home/lhy/code/LaTeX-OCR/pix2tex/model/checkpoints/pix2tex_v1/pix2tex_v1_e30_step4265.pth',
-        'no_cuda': False,
-        'no_resize': False
-    }
-)
-    ...
-
-
-def inference_v2(img: Image):
-    # img = img.convert('RGB') if img.format == 'PNG' else img
-    # processed_img = preprocess_fn({"pixel_values": [img]})
-
-    # resizer = load_resizer(resizer_path)
-    # inpu = torch.stack(processed_img['pixel_values'])
-    # pred_size = resizer(inpu)
-
-    # teller = load_teller(teller_path)
-    ...
-
-
 def inference(args):
     img = Image.open(args.image)
     img = img.convert('RGB') if img.format == 'PNG' else img
@@ -50,7 +20,7 @@ def inference(args):
     model = Resizer.from_pretrained(ckt_path)
     model.eval()
     inpu = torch.stack(processed_img['pixel_values'])
-    pred = model(inpu)
+    pred = model(inpu) * 1.25
     print(pred)
 
     ...