Update README.md

README.md

@@ -26,6 +26,11 @@ library_name: transformers
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+# Model description
+
+The goal of this model was to create a universal model for categorizing Russian-language news that would preserve the ability of the basic LaBSE model to generate multi-lingual text embeddings in a single vector space.
+
+
 # frozen_news_classifier_ft
 
 This model is a fine-tuned version of [sentence-transformers/LaBSE](https://huggingface.co/sentence-transformers/LaBSE) on my [news dataset](https://huggingface.co/datasets/data-silence/rus_news_classifier).
@@ -90,11 +95,6 @@ def predict_category(news: list[str]) -> list[str]:
 ```
 
 
-## Model description
-
-The goal of this model was to create a universal model for categorizing Russian-language news that would preserve the ability of the basic LaBSE model to generate multi-lingual text embeddings in a single vector space.
-
-
 
 ## Intended uses & limitations