Update used model

app.py

@@ -2,7 +2,7 @@ from typing import Dict, Union
 from gliner import GLiNER
 import gradio as gr
 
-model = GLiNER.from_pretrained("urchade/gliner_base")
+model = GLiNER.from_pretrained("urchade/gliner_medium-v2.1")
 
 examples = [
     [
@@ -126,11 +126,11 @@ with gr.Blocks(title="GLiNER-base") as demo:
         """
         # GLiNER-base
 
-        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.
+        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. This model has the commercially permissive Apache 2.0 license.
 
         ## Links
 
-        * Model: https://huggingface.co/urchade/gliner_base
+        * Model: https://huggingface.co/urchade/gliner_medium-v2.1
         * All GLiNER models: https://huggingface.co/models?library=gliner
         * Paper: https://arxiv.org/abs/2311.08526
         * Repository: https://github.com/urchade/GLiNER