Update README.md

README.md

@@ -22,9 +22,7 @@ Unlike GliNER, NuNER Zero is a token classifier, which allows detect arbitrary l
 
 NuNER Zero was trained on NuNER v2.0 dataset, which combines subsets of Pile and C4 annotated via LLMs using [NuNER's procedure](https://huggingface.co/papers/2402.15343).
 
-Key benefits of using NuNER Zero compared to GLiNER:
-* Possibility to **detect arbitrary long entities** as NuNER Zero is a token classifier and do not return span.
-* Surpassing GLiNER-large-v2.1 by **+3.1% on average** on its own benchmark.
+NuNER Zero is (at the time of its release) the best compact zero-shot NER model (+3.1% token-level F1-Score over GLiNER-large-v2.1 on GLiNERS's benchmark)
 
 <p align="center">
 <img src="zero_shot_performance_unzero_token.png">