Update README.md

README.md

@@ -34,7 +34,7 @@ import torch
 from gliner import GLiNER
 
 device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
-model = GLiNER.from_pretrained("Ugiat/NERCat", load_tokenizer=True).to(device)
+model = GLiNER.from_pretrained("Ugiat/NERCat").to(device)
 
 text = "La Universitat de Barcelona és una de les institucions educatives més importants de Catalunya."
 
@@ -97,8 +97,9 @@ The dataset included 13,732 named entity instances across eight categories:
 ```
 @misc{article_id,
   title        = {NERCat: Fine-Tuning for Enhanced Named Entity Recognition in Catalan},
-  author       = {Marc Bardeli Gámez, Marc Serrano Sanz, Guillem Cadevall Ferreres, Pol Gerdt Basullas, Raul Quijada Ferrero, Francesc Tarres Ruiz},  year         = {2025},
+  author       = {Guillem Cadevall Ferreres, Marc Bardeli Gámez, Marc Serrano Sanz, Pol Gerdt Basuillas, Francesc Tarres Ruiz, Raul Quijada Ferrero},
+  year         = {2025},
   archivePrefix = {arXiv},
-  url          = {URL_of_the_paper} (PENDING)
+  url          = {URL_of_the_paper}
 }
 ```