Instructions to use DeepMount00/universal_ner_ita with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- GLiNER
How to use DeepMount00/universal_ner_ita with GLiNER:
from gliner import GLiNER model = GLiNER.from_pretrained("DeepMount00/universal_ner_ita") text = "Cristiano Ronaldo dos Santos Aveiro was born on 5 February 1985 in Funchal, Madeira, Portugal." labels = ["person", "date", "location"] entities = model.predict_entities(text, labels) for entity in entities: print(entity["text"], "=>", entity["label"]) - Notebooks
- Google Colab
- Kaggle
Finetuning
#4
by ale-volpe - opened
Have you followed finetuning notebook on GLiNER's github repo to train your model?
No, I didn't fine-tune the model; I built it from scratch following the GLiNER paper and the code available in the repository. I plan to create a new version using the fine-tuning notebook as soon as I have some free time. :)
thank you, the model is really impressive. Keep up the good work :)
Thank you very much for your kind words! I really appreciate it. π
DeepMount00 changed discussion status to closed