| 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"]) | |
| ``` |