Update README.md

README.md

@@ -12,6 +12,13 @@ library_name: gliner
 
 GLiNER is a Named Entity Recognition (NER) model capable of identifying any entity type using a bidirectional transformer encoder (BERT-like). It provides a practical alternative to traditional NER models, which are limited to predefined entities, and Large Language Models (LLMs) that, despite their flexibility, are costly and large for resource-constrained scenarios.
 
+## Links
+
+* Paper: https://arxiv.org/abs/2311.08526
+* Repository: https://github.com/urchade/GLiNER
+
+## Available models
+
 | Release | Model Name | # of Parameters | Language | License |
 | - | - | - | - | - |
 | v0 | [urchade/gliner_base](https://huggingface.co/urchade/gliner_base)<br>[urchade/gliner_multi](https://huggingface.co/urchade/gliner_multi) | 209M<br>209M | English<br>Multilingual | cc-by-nc-4.0 |
@@ -19,10 +26,6 @@ GLiNER is a Named Entity Recognition (NER) model capable of identifying any enti
 | v2 | [urchade/gliner_small-v2](https://huggingface.co/urchade/gliner_small-v2)<br>[urchade/gliner_medium-v2](https://huggingface.co/urchade/gliner_medium-v2)<br>[urchade/gliner_large-v2](https://huggingface.co/urchade/gliner_large-v2) | 166M<br>209M<br>459M |  English <br> English <br> English | apache-2.0 |
 | v2.1 | [urchade/gliner_small-v2.1](https://huggingface.co/urchade/gliner_small-v2.1)<br>[urchade/gliner_medium-v2.1](https://huggingface.co/urchade/gliner_medium-v2.1)<br>[urchade/gliner_multi-v2.1](https://huggingface.co/urchade/gliner_multi-v2.1) | 166M<br>209M<br>209M | English <br> English <br> Multilingual | apache-2.0 |
 
-## Links
-
-* Paper: https://arxiv.org/abs/2311.08526
-* Repository: https://github.com/urchade/GLiNER
 
 ## Installation
 To use this model, you must install the GLiNER Python library: