Update README.md

README.md

@@ -15,7 +15,16 @@ tags:
 # Overview
 This is a named entity recognition model based on `knowledgator/gliner-multitask-large-v0.5`, specifically fine-tuned for automotive tire attributes extraction. The fine-tuning dataset consists of queries in Bulgarian.
 
-# How to use?
+# How to use
+
+## Installation
+
+```
+pip install gliner
+```
+
+## Usage
+The example below includes all labels that the model was fine-tuned on. Although it supports extracting unseen entities, the accuracy of any other labels is not guaranteed.
 
 ```
 from gliner import GLiNER
@@ -25,8 +34,10 @@ model = GLiNER.from_pretrained("svilens/gliner-multitask-large-v0.5-auto-tires")
 text = "Търся зимни гуми 225/65 R17 91V runflat за Honda CR-V 2022"
 
 labels = [
-    "tyre_size", "tyre_type", "tyre_width", "tyre_aspect_ratio", "tyre_diameter", 
-    "tyre_load_index", "tyre_speed_rating", "tyre_type", "tyre_season",
+    "tyre_size", "tyre_type", "tyre_width",
+    "tyre_aspect_ratio", "tyre_diameter", 
+    "tyre_load_index", "tyre_speed_rating",
+    "tyre_type", "tyre_season",
     "car_make", "car_model", "car_year"
 ]