From 1ca2f9c6de17e33d0f4c0db17faeee172a5163a5 Mon Sep 17 00:00:00 2001
From: Maciej Smyk <maciejx.smyk@intel.com>
Date: Wed, 11 Oct 2023 11:03:14 +0200
Subject: [PATCH] Update openvino_intro.md (#20383)

---
 docs/articles_en/openvino_workflow/openvino_intro.md | 2 +-
 1 file changed, 1 insertion(+), 1 deletion(-)

diff --git a/docs/articles_en/openvino_workflow/openvino_intro.md b/docs/articles_en/openvino_workflow/openvino_intro.md
index 40db0d15b52..2937189c136 100644
--- a/docs/articles_en/openvino_workflow/openvino_intro.md
+++ b/docs/articles_en/openvino_workflow/openvino_intro.md
@@ -33,7 +33,7 @@ OpenVINO Runtime is a set of C++ libraries with C and Python bindings providing
    Note that TensorFlow models can be run using the
    :doc:`torch.compile feature <pytorch_2_0_torch_compile>`, as well as the standard ways of
    :doc:`converting TensorFlow <openvino_docs_OV_Converter_UG_prepare_model_convert_model_Convert_Model_From_PyTorch>`
-    or reading them directly.
+   or reading them directly.
 
 OpenVINO Runtime uses a plugin architecture. Its plugins are software components that contain complete implementation for inference on a particular Intel® hardware device: CPU, GPU, GNA, etc. Each plugin implements the unified API and provides additional hardware-specific APIs for configuring devices or API interoperability between OpenVINO Runtime and underlying plugin backend.