metadata
license: apache-2.0
pipeline_tag: text-classification
language:
- it
library_name: gliner
Still needs some work to improve performance, but it's good—almost like DeepMount00/universal_ner_ita.
Installation
To use this model, you must install the GLiNER Python library:
!pip install gliner
Usage
Once you've downloaded the GLiNER library, you can import the GLiNER class. You can then load this model using GLiNER.from_pretrained and predict entities with predict_entities.
from gliner import GLiNER
model = GLiNER.from_pretrained("DeepMount00/GLiNER_ITA_SMALL")
text = """..."""
labels = ["label1", "label2"]
entities = model.predict_entities(text, labels)
for entity in entities:
print(entity["text"], "=>", entity["label"])