Update README.md

README.md

@@ -26,7 +26,9 @@ Such architecture brings several advantages over uni-encoder GLiNER:
 * Faster inference if entity embeddings are preprocessed;
 * Better generalization to unseen entities;
 
-Utilization of ModernBERT uncovers up to 3 times better efficiency in comparison to DeBERTa-based models and context length up to 8,192 tokens while demonstrating comparable results.
+Utilization of ModernBERT uncovers up to 4 times better efficiency in comparison to DeBERTa-based models and context length up to 8,192 tokens while demonstrating comparable results.
+
+![inference time comparison](modernbert_inference_time.png "Inference time comparison")
 
 However, bi-encoder architecture has some drawbacks such as a lack of inter-label interactions that make it hard for the model to disambiguate semantically similar but contextually different entities.