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---
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](https://huggingface.co/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`.
```python
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"])
``` |