This is a GLiNER model fine-tuned for named entity recognition.
This model is designed to recognize and extract named entities from text.
This model was trained on a custom dataset.
Performance metrics and evaluation results should be included here.
The model may not perform well on text significantly different from its training data.
1from gliner import GLiNER
2
3model = GLiNER.from_pretrained("yasin9999/gliner_finetuned_v1")
4entities = model.predict_entities(
5 "Your text here",
6 ["PERSON", "DATE_TIME", "ADDRESS", "PHONE_NUMBER", "EMAIL"],
7 threshold=0.5
8)
