[DOCS] Fixing reference to OMZ articles (openvinotoolkit#22562)

* Fixing reference to OMZ articles

* fix link

docs/articles_en/learn_openvino/openvino_samples/bert_benchmark.rst

@@ -9,7 +9,7 @@ Bert Benchmark Python Sample
 
 
 This sample demonstrates how to estimate performance of a Bert model using Asynchronous
-Inference Request API. Unlike :doc:`demos <omz_demos>` this sample does not have
+Inference Request API. Unlike `demos <https://docs.openvino.ai/nightly/omz_demos.html>`__ this sample does not have
 configurable command line arguments. Feel free to modify sample's source code to
 try out different options.
 

docs/articles_en/learn_openvino/openvino_samples/hello_classification.rst

@@ -14,8 +14,8 @@ Synchronous Inference Request API. Before using the sample, refer to the followi
 
 - Models with only one input and output are supported.
 - The sample accepts any file format supported by ``core.read_model``.
-- The sample has been validated with: :doc:`alexnet <omz_models_model_alexnet>`,
-  :doc:`googlenet-v1 <omz_models_model_googlenet_v1>` models.
+- The sample has been validated with: `alexnet <https://docs.openvino.ai/nightly/omz_models_model_alexnet.html>`__,
+  `googlenet-v1 <https://docs.openvino.ai/nightly/omz_models_model_googlenet_v1.html>`__ models.
 - To build the sample, use instructions available at :ref:`Build the Sample Applications <build-samples>`
   section in "Get Started with Samples" guide.
 

docs/articles_en/learn_openvino/openvino_samples/hello_nv12_input_classification.rst

@@ -15,7 +15,7 @@ with images in NV12 color format using Synchronous Inference Request API. Before
 using the sample, refer to the following requirements:
 
 - The sample accepts any file format supported by ``ov::Core::read_model``.
-- The sample has been validated with: :doc:`alexnet <omz_models_model_alexnet>` model and
+- The sample has been validated with: `alexnet <https://docs.openvino.ai/nightly/omz_models_model_alexnet.html>`__ model and
   uncompressed images in the NV12 color format - \*.yuv
 - To build the sample, use instructions available at :ref:`Build the Sample Applications <build-samples>`
   section in "Get Started with Samples" guide.

docs/articles_en/learn_openvino/openvino_samples/hello_reshape_ssd.rst

@@ -16,8 +16,8 @@ using the sample, refer to the following requirements:
 
 - Models with only one input and output are supported.
 - The sample accepts any file format supported by ``core.read_model``.
-- The sample has been validated with: :doc:`mobilenet-ssd <omz_models_model_mobilenet_ssd>`,
-  :doc:`person-detection-retail-0013 <omz_models_model_person_detection_retail_0013>`
+- The sample has been validated with: `mobilenet-ssd <https://docs.openvino.ai/nightly/omz_models_model_mobilenet_ssd.html>`__,
+  `person-detection-retail-0013 <https://docs.openvino.ai/nightly/omz_models_model_person_detection_retail_0013.html>`__
   models and the NCHW layout format.
 - To build the sample, use instructions available at :ref:`Build the Sample Applications <build-samples>`
   section in "Get Started with Samples" guide.

docs/articles_en/learn_openvino/openvino_samples/image_classification_async.rst

@@ -15,7 +15,8 @@ following requirements:
 
 - Models with only one input and output are supported.
 - The sample accepts any file format supported by ``core.read_model``.
-- The sample has been validated with: :doc:`alexnet <omz_models_model_alexnet>`, :doc:`googlenet-v1 <omz_models_model_googlenet_v1>` models.
+- The sample has been validated with: `alexnet <https://docs.openvino.ai/nightly/omz_models_model_alexnet.html>`__,
+  `googlenet-v1 <https://docs.openvino.ai/nightly/omz_models_model_googlenet_v1.html>`__ models.
 - To build the sample, use instructions available at :ref:`Build the Sample Applications <build-samples>`
   section in "Get Started with Samples" guide.
 

docs/articles_en/learn_openvino/openvino_samples/sync_benchmark.rst

@@ -11,14 +11,15 @@ Sync Benchmark Sample
 This sample demonstrates how to estimate performance of a model using Synchronous
 Inference Request API. It makes sense to use synchronous inference only in latency
 oriented scenarios. Models with static input shapes are supported. Unlike
-:doc:`demos <omz_demos>` this sample does not have other configurable command-line
+`demos <https://docs.openvino.ai/nightly/omz_demos.html>`__ this sample does not have other configurable command-line
 arguments. Feel free to modify sample's source code to try out different options.
 Before using the sample, refer to the following requirements:
 
 - The sample accepts any file format supported by ``core.read_model``.
-- The sample has been validated with: :doc:`alexnet <omz_models_model_alexnet>`,
-  :doc:`googlenet-v1 <omz_models_model_googlenet_v1>`, :doc:`yolo-v3-tf <omz_models_model_yolo_v3_tf>`,
-  :doc:`face-detection-0200 <omz_models_model_face_detection_0200>` models.
+- The sample has been validated with: `alexnet <https://docs.openvino.ai/nightly/omz_models_model_alexnet.html>`__,
+  `googlenet-v1 <https://docs.openvino.ai/nightly/omz_models_model_googlenet_v1.html>`__,
+  `yolo-v3-tf <https://docs.openvino.ai/nightly/omz_models_model_yolo_v3_tf.html>`__,
+  `face-detection-0200 <https://docs.openvino.ai/nightly/omz_models_model_face_detection_0200.html>`__ models.
 - To build the sample, use instructions available at :ref:`Build the Sample Applications <build-samples>`
   section in "Get Started with Samples" guide.
 

docs/articles_en/learn_openvino/openvino_samples/throughput_benchmark.rst

@@ -9,7 +9,7 @@ Throughput Benchmark Sample
 
 
 This sample demonstrates how to estimate performance of a model using Asynchronous
-Inference Request API in throughput mode. Unlike :doc:`demos <omz_demos>` this sample
+Inference Request API in throughput mode. Unlike `demos <https://docs.openvino.ai/nightly/omz_demos.html>`__ this sample
 does not have other configurable command-line arguments. Feel free to modify sample's
 source code to try out different options.
 
@@ -20,9 +20,10 @@ sets ``uint8``, while the sample uses default model precision which is usually `
 Before using the sample, refer to the following requirements:
 
 - The sample accepts any file format supported by ``core.read_model``.
-- The sample has been validated with: :doc:`alexnet <omz_models_model_alexnet>`,
-  :doc:`googlenet-v1 <omz_models_model_googlenet_v1>`, :doc:`yolo-v3-tf <omz_models_model_yolo_v3_tf>`,
-  :doc:`face-detection-0200 <omz_models_model_face_detection_0200>` models.
+- The sample has been validated with: `alexnet <https://docs.openvino.ai/nightly/omz_models_model_alexnet.html>`__,
+  `googlenet-v1 <https://docs.openvino.ai/nightly/omz_models_model_googlenet_v1.html>`__,
+  `yolo-v3-tf <https://docs.openvino.ai/nightly/omz_models_model_yolo_v3_tf.html>`__,
+  `face-detection-0200 <https://docs.openvino.ai/nightly/omz_models_model_face_detection_0200.html>`__ models.
 - To build the sample, use instructions available at :ref:`Build the Sample Applications <build-samples>`
   section in "Get Started with Samples" guide.