def test_MarqoFashionSigLIPModel_load_via_hf_hub_model_name(self):
        """
        Marqtune team always provide the model name with the hf hub model name, instead of the model architecture name.
        E.g., they provide hf-hub:timm/ViT-B-16-SigLIP instead of ViT-B-16-SigLIP.

        We need to ensure this works as expected. We use FashionSigLIP model for this test.
        """
        model_properties = {
            "name": "hf-hub:timm/ViT-B-16-SigLIP",
            "type": "open_clip",
            "dimensions": 768,
            "url": "https://huggingface.co/Marqo/marqo-fashionSigLIP/resolve/main/open_clip_pytorch_model.bin",
            "imagePreprocessor": "SigLIP"
        }

        marqo_image_embeddings = self.encode_content_helper(
            content=[self.IMAGE_CONTENT], model_properties=model_properties,
            modality="image"
        )[0]
        marqo_text_embeddings = self.encode_content_helper(
            content=[self.TEXT_CONTENT], model_properties=model_properties,
            modality="language"
        )[0]

        image_difference = np.linalg.norm(marqo_image_embeddings - self.SiGLIP_IMAGE_EMBEDDING) / len(
            marqo_image_embeddings)
        text_difference = np.linalg.norm(marqo_text_embeddings - self.SiGLIP_TEXT_EMBEDDING) / len(
            marqo_text_embeddings)

        self.assertLess(image_difference, 1e-4, f"Image embeddings are not close enough. "
                                                f"The average difference is: {image_difference}")
        self.assertLess(text_difference, 1e-4, f"Text embeddings are not close enough. "
                                               f"The average difference is: {text_difference}")

        Marqtune team always provide the model name with the hf hub model name, instead of the model architecture name.
        E.g., they provide hf-hub:timm/ViT-B-16-SigLIP instead of ViT-B-16-SigLIP.

        We need to ensure this works as expected. We use FashionSigLIP model for this test.
        
tests/integ_tests/inference/native_inference/embedding_models/test_marqo_fashion_clip_encode.py