---
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"])
```

## Model Author
* [Michele Montebovi](https://huggingface.co/DeepMount00)

## Citation
```bibtex
@misc{zaratiana2023gliner,
      title={GLiNER: Generalist Model for Named Entity Recognition using Bidirectional Transformer}, 
      author={Urchade Zaratiana and Nadi Tomeh and Pierre Holat and Thierry Charnois},
      year={2023},
      eprint={2311.08526},
      archivePrefix={arXiv},
      primaryClass={cs.CL}
}