diff --git a/nodes/vlm/ram_LP.py b/nodes/vlm/ram_LP.py
index a487f88..aa5d906 100644
--- a/nodes/vlm/ram_LP.py
+++ b/nodes/vlm/ram_LP.py
@@ -4,20 +4,6 @@ import gc
 import numpy as np
 import warnings
 warnings.filterwarnings("ignore", category=FutureWarning, module="timm\\.models")
-import sys
-import transformers
-import types
-
-wrapper = types.ModuleType("transformers.modeling_utils")
-
-for k, v in transformers.pytorch_utils.__dict__.items():
-    setattr(wrapper, k, v)
-
-for k, v in transformers.modeling_utils.__dict__.items():
-    if not hasattr(wrapper, k):
-        setattr(wrapper, k, v)
-
-sys.modules["transformers.modeling_utils"] = wrapper
 
 from ram.models import ram
 from ram.models import ram_plus
diff --git a/pyproject.toml b/pyproject.toml
index 181972e..fe40db0 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-levelpixel-advanced"
 description = "Advanced nodes of the Level Pixel company (aka levelpixel, LP). Includes convenient advanced nodes for working with LLM и VLM models (LLaVa, Multimodal Generator) with GGUF format. Qwen2.5-VL and Qwen2.5 supported. Also included is a node for the RAM model. Nodes have the ability to automatically unload models from VRAM. This package also includes Autotagger (WD), Image Remove Background (based on RMBG-2.0, on BiRefNet, on BiRefNet-HR-Matter, on RemBG). Licensed under GNU GPLv3. Repository: https://github.com/LevelPixel/ComfyUI-LevelPixel-Advanced"
-version = "1.3.5"
+version = "1.3.6"
 license = { file = "LICENSE.txt" }
 dependencies = [
     "torch>=2.0.1", 
diff --git a/requirements.txt b/requirements.txt
index eb8d192..4fc6114 100644
--- a/requirements.txt
+++ b/requirements.txt
@@ -14,4 +14,4 @@ matplotlib
 diskcache>=5.6.1
 jinja2>=2.11.3
 typing-extensions>=4.5.0
-ram @ git+https://github.com/xinyu1205/recognize-anything.git
+ram @ git+https://github.com/Level-Pixel/recognize-anything.git