chore: correct documentation links in geti tune cards

model_converter/README.md

@@ -158,6 +158,7 @@ The configuration file is a JSON file with the following structure:
     {
       "model_short_name": "resnet50",
       "license": "bsd-3-clause",
+      "license_name": "bsd-3-clause",
       "license_link": "https://spdx.org/licenses/BSD-3-Clause.html",
       "model_class_name": "torchvision.models.resnet.resnet50",
       "model_full_name": "ResNet-50",

model_converter/src/model_converter/converters/base.py

@@ -30,6 +30,25 @@
     from model_converter.metrics import CocoDetectionMAP, Metric
 
 
+def _get_human_license_name(name: str) -> str:
+    mapping = {
+        "agpl-3.0": "AGPL-3.0-only",
+        "apache-2.0": "Apache-2.0",
+        "bsd-3-clause": "BSD-3-Clause",
+    }
+
+    return mapping.get(name, name)
+
+
+def _get_model_docs_page_name(url: str) -> str:
+    url = url.lower()
+    if "github" in url:
+        return "repository"
+    if "huggingface" in url:
+        return "card"
+    return "documentation"
+
+
 class BaseConverter(ABC):
     """Abstract base class for model converters.
 
@@ -337,8 +356,12 @@ def copy_readme(
             model_short_name = str(model_config.get("model_short_name", "")).strip()
             model_library = str(model_config.get("model_library", "timm")).strip()
             model_license = str(model_config.get("license", "")).strip()
+            model_license_name = _get_human_license_name(model_license)
             model_license_link = str(model_config.get("license_link", "")).strip()
             docs = str(model_config.get("docs", "")).strip()
+            model_docs_page_name = str(
+                model_config.get("model_docs_page_name", _get_model_docs_page_name(url=docs)),
+            ).strip()
 
             def template_placeholder(name: str) -> str:
                 return f"<<{name}>>"
@@ -373,11 +396,13 @@ def template_placeholder(name: str) -> str:
 
             placeholders = {
                 template_placeholder("license"): model_license,
+                template_placeholder("license_name"): model_license_name,
                 template_placeholder("license_link"): model_license_link,
                 template_placeholder("model_name"): model_short_name,
                 template_placeholder("model_short_name"): model_short_name,
                 template_placeholder("variant"): variant,
                 template_placeholder("docs"): docs,
+                template_placeholder("model_docs_page_name"): model_docs_page_name,
             }
 
             # Handle tags list → YAML formatting

model_converter/src/model_converter/templates/README-getitune-fp16.md

@@ -6,12 +6,12 @@ tags:
 
 # <<model_short_name>>-fp16-ov
 
-- Model creator: [Geti™](https://github.com/open-edge-platform/training_extensions)
+- Model creator: [Geti™](https://github.com/open-edge-platform/geti)
 - Original model: [<<model_full_name>>](<<docs>>)
 
 ## Description
 
-This is a [Geti™](https://github.com/open-edge-platform/training_extensions) version of [<<model_full_name>>](<<docs>>) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/2026/documentation/openvino-ir-format.html) (Intermediate Representation) format with weights compressed to FP16.
+This is a [Geti™](https://github.com/open-edge-platform/geti) version of [<<model_full_name>>](<<docs>>) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/2026/documentation/openvino-ir-format.html) (Intermediate Representation) format with weights compressed to FP16.
 
 To fine-tune your model with a custom dataset, you can use Geti™ to annotate data, perform fine-tuning, and export the resulting model.
 
@@ -57,11 +57,11 @@ For more examples and possible optimizations, refer to the [Model API Documentat
 
 ## Limitations
 
-Check the original [model documentation](<<docs>>) for limitations.
+Check the [original model documentation](<<docs>>) for limitations.
 
 ## Legal information
 
-The original model is distributed under the [<<license>>](<<license_link>>) license. More details can be found in [training_extensions](https://github.com/open-edge-platform/training_extensions).
+The original model is distributed under the [<<license_name>>](<<license_link>>) license. More details can be found in the [original model <<model_docs_page_name>>](<<docs>>).
 
 ## Disclaimer
 

model_converter/src/model_converter/templates/README-getitune-int8.md

@@ -6,12 +6,12 @@ tags:
 
 # <<model_short_name>>-int8-ov
 
-- Model creator: [Geti™](https://github.com/open-edge-platform/training_extensions)
+- Model creator: [Geti™](https://github.com/open-edge-platform/geti)
 - Original model: [<<model_full_name>>](<<docs>>)
 
 ## Description
 
-This is a [Geti™](https://github.com/open-edge-platform/training_extensions) version of [<<model_full_name>>](<<docs>>) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/2026/documentation/openvino-ir-format.html) (Intermediate Representation) format with weights compressed to INT8.
+This is a [Geti™](https://github.com/open-edge-platform/geti) version of [<<model_full_name>>](<<docs>>) model converted to the [OpenVINO™ IR](https://docs.openvino.ai/2026/documentation/openvino-ir-format.html) (Intermediate Representation) format with weights compressed to INT8.
 
 To fine-tune your model with a custom dataset, you can use Geti™ to annotate data, perform fine-tuning, and export the resulting model.
 
@@ -66,11 +66,11 @@ For more examples and possible optimizations, refer to the [Model API Documentat
 
 ## Limitations
 
-Check the original [model documentation](<<docs>>) for limitations.
+Check the [original model documentation](<<docs>>) for limitations.
 
 ## Legal information
 
-The original model is distributed under the [<<license>>](<<license_link>>) license. More details can be found in [training_extensions](https://github.com/open-edge-platform/training_extensions).
+The original model is distributed under the [<<license_name>>](<<license_link>>) license. More details can be found in the [original model <<model_docs_page_name>>](<<docs>>).
 
 ## Disclaimer
 

model_converter/src/model_converter/templates/README-timm-fp16.md

@@ -59,11 +59,11 @@ For more examples and possible optimizations, refer to the [Model API Documentat
 
 ## Limitations
 
-Check the original [model card](https://huggingface.co/<<huggingface_repo>>) for limitations.
+Check the [original model card](https://huggingface.co/<<huggingface_repo>>) for limitations.
 
 ## Legal information
 
-The original model is distributed under the [<<license>>](<<license_link>>) license. More details can be found in [<<huggingface_repo>>](https://huggingface.co/<<huggingface_repo>>)
+The original model is distributed under the [<<license_name>>](<<license_link>>) license. More details can be found in [<<huggingface_repo>>](https://huggingface.co/<<huggingface_repo>>)
 
 ## Disclaimer
 

model_converter/src/model_converter/templates/README-timm-int8.md

@@ -68,11 +68,11 @@ For more examples and possible optimizations, refer to the [Model API Documentat
 
 ## Limitations
 
-Check the original [model card](https://huggingface.co/<<huggingface_repo>>) for limitations.
+Check the [original model card](https://huggingface.co/<<huggingface_repo>>) for limitations.
 
 ## Legal information
 
-The original model is distributed under the [<<license>>](<<license_link>>) license. More details can be found in [<<huggingface_repo>>](https://huggingface.co/<<huggingface_repo>>)
+The original model is distributed under the [<<license_name>>](<<license_link>>) license. More details can be found in [<<huggingface_repo>>](https://huggingface.co/<<huggingface_repo>>)
 
 ## Disclaimer
 

model_converter/src/model_converter/templates/README-torchvision-fp16.md

@@ -56,11 +56,11 @@ For more examples and possible optimizations, refer to the [Model API Documentat
 
 ## Limitations
 
-Check the original [model implementation](https://github.com/pytorch/vision) for limitations.
+Check the [original model implementation](https://github.com/pytorch/vision) for limitations.
 
 ## Legal information
 
-The original model is distributed under the [<<license>>](<<license_link>>) license. More details can be found in [https://github.com/pytorch/vision](https://github.com/pytorch/vision).
+The original model is distributed under the [<<license_name>>](<<license_link>>) license. More details can be found in [https://github.com/pytorch/vision](https://github.com/pytorch/vision).
 
 ## Disclaimer
 

model_converter/src/model_converter/templates/README-torchvision-int8.md

@@ -65,11 +65,11 @@ For more examples and possible optimizations, refer to the [Model API Documentat
 
 ## Limitations
 
-Check the original [model implementation](https://github.com/pytorch/vision) for limitations.
+Check the [original model implementation](https://github.com/pytorch/vision) for limitations.
 
 ## Legal information
 
-The original model is distributed under the [<<license>>](<<license_link>>) license. More details can be found in [https://github.com/pytorch/vision](https://github.com/pytorch/vision).
+The original model is distributed under the [<<license_name>>](<<license_link>>) license. More details can be found in [https://github.com/pytorch/vision](https://github.com/pytorch/vision).
 
 ## Disclaimer
 

model_converter/src/model_converter/templates/README-yolo-fp16.md

@@ -59,7 +59,7 @@ For more examples and possible optimizations, refer to the [Model API Documentat
 
 ## Limitations
 
-Check the original [model card](https://huggingface.co/Ultralytics/YOLO11) for limitations.
+Check the [original model card](https://huggingface.co/Ultralytics/YOLO11) for limitations.
 
 ## Legal information
 

model_converter/src/model_converter/templates/README-yolo-int8.md

@@ -70,7 +70,7 @@ For more examples and possible optimizations, refer to the [Model API Documentat
 
 ## Limitations
 
-Check the original [model card](https://huggingface.co/Ultralytics/YOLO11) for limitations.
+Check the [original model card](https://huggingface.co/Ultralytics/YOLO11) for limitations.
 
 ## Legal information
 

model_converter/tests/unit/test_converters.py

@@ -33,8 +33,10 @@ def test_renders_placeholders_and_tags_yaml(self, converter, template_dir, tmp_p
         (template_dir / "README-torchvision-fp16.md").write_text(
             "# <<model_short_name>>\n"
             "License: <<license>>\n"
+            "License name: <<license_name>>\n"
             "License link: <<license_link>>\n"
             "Docs: <<docs>>\n"
+            "Docs page name: <<model_docs_page_name>>\n"
             "Variant: <<variant>>\n"
             "Tags:\n"
             "<<tags_yaml>>",
@@ -46,7 +48,7 @@ def test_renders_placeholders_and_tags_yaml(self, converter, template_dir, tmp_p
             {
                 "model_short_name": "test_model",
                 "model_library": "torchvision",
-                "license": "Apache-2.0",
+                "license": "apache-2.0",
                 "license_link": "https://apache.org/licenses/LICENSE-2.0",
                 "docs": "https://docs.example.com",
                 "tags": ["vision", "classification"],
@@ -57,13 +59,97 @@ def test_renders_placeholders_and_tags_yaml(self, converter, template_dir, tmp_p
 
         content = (output_folder / "README.md").read_text()
         assert "# test_model" in content
-        assert "License: Apache-2.0" in content
+        assert "License: apache-2.0" in content
+        assert "License name: Apache-2.0" in content
         assert "License link: https://apache.org/licenses/LICENSE-2.0" in content
         assert "Docs: https://docs.example.com" in content
+        assert "Docs page name: documentation" in content
         assert "Variant: fp16" in content
         assert "  - vision" in content
         assert "  - classification" in content
 
+    @pytest.mark.parametrize(
+        ("license_id", "license_name"),
+        [
+            ("apache-2.0", "Apache-2.0"),
+            ("rAnDoM", "rAnDoM"),
+            ("agpl-3.0", "AGPL-3.0-only"),
+            ("bsd-3-clause", "BSD-3-Clause"),
+        ],
+    )
+    def test_selects_correct_license_name(
+        self,
+        converter,
+        template_dir,
+        tmp_path,
+        monkeypatch,
+        license_id,
+        license_name,
+    ):
+        """copy_readme fills placeholders from config and renders tags as YAML."""
+        _set_template_root(monkeypatch, template_dir)
+        (template_dir / "README-torchvision-fp16.md").write_text(
+            "License: <<license>>\nLicense name: <<license_name>>\n",
+        )
+        output_folder = tmp_path / "test_model-fp16-ov"
+        output_folder.mkdir()
+
+        converter.copy_readme(
+            {
+                "model_short_name": "test_model",
+                "model_library": "torchvision",
+                "license": license_id,
+                "license_link": "https://apache.org/licenses/LICENSE-2.0",
+                "docs": "https://docs.example.com",
+            },
+            output_folder,
+            variant="fp16",
+        )
+
+        content = (output_folder / "README.md").read_text()
+        assert f"License: {license_id}" in content
+        assert f"License name: {license_name}" in content
+
+    @pytest.mark.parametrize(
+        ("docs_url", "docs_page_name"),
+        [
+            ("https://docs.example.com", "documentation"),
+            ("https://huggingface.com/foo/bar", "card"),
+            ("https://github.com/foo/bar", "repository"),
+        ],
+    )
+    def test_selects_correct_docs_page_name(
+        self,
+        converter,
+        template_dir,
+        tmp_path,
+        monkeypatch,
+        docs_url,
+        docs_page_name,
+    ):
+        """copy_readme fills placeholders from config and renders tags as YAML."""
+        _set_template_root(monkeypatch, template_dir)
+        (template_dir / "README-torchvision-fp16.md").write_text(
+            "Docs page name: <<model_docs_page_name>>\n",
+        )
+        output_folder = tmp_path / "test_model-fp16-ov"
+        output_folder.mkdir()
+
+        converter.copy_readme(
+            {
+                "model_short_name": "test_model",
+                "model_library": "torchvision",
+                "license": "apache-2.0",
+                "license_link": "https://apache.org/licenses/LICENSE-2.0",
+                "docs": docs_url,
+            },
+            output_folder,
+            variant="fp16",
+        )
+
+        content = (output_folder / "README.md").read_text()
+        assert f"Docs page name: {docs_page_name}" in content
+
     @pytest.mark.parametrize(
         ("config", "expected"),
         [