| tags: | |
| - spacy | |
| language: | |
| - it | |
| license: mit | |
| datasets: | |
| - wikiann | |
| library_name: spacy | |
| pipeline_tag: token-classification | |
| | Feature | Description | | |
| | --- | --- | | |
| | **Name** | `it_spacy_ner_trf` | | |
| | **Version** | `0.1` | | |
| | **spaCy** | `>=3.5.1,<3.6.0` | | |
| | **Default Pipeline** | `token_classification_transformer` | | |
| | **Components** | `token_classification_transformer` | | |
| | **Vectors** | 0 keys, 0 unique vectors (0 dimensions) | | |
| | **Sources** | [tner/wikiann](https://huggingface.co/datasets/tner/wikiann) | | |
| | **License** | `MIT` | | |
| | **Author** | [Nicola Procopio](https://github.com/nickprock) | | |
| --- | |
| # Description | |
| SpaCy version of [nickprock/bert-italian-finetuned-ner](https://huggingface.co/nickprock/bert-italian-finetuned-ner). | |
| > The original model is wrapped by [spacy-wrap](https://github.com/KennethEnevoldsen/spacy-wrap) | |
| ## Use it in SpaCy | |
| ``` | |
| !pip install https://huggingface.co/nickprock/it_spacy_ner_trf/resolve/main/it_spacy_ner_trf-any-py3-none-any.whl | |
| import spacy | |
| nlp = spacy.load("it_spacy_ner_trf") | |
| doc = nlp("Domenica andrò allo stadio con Giovanna a guardare la Fiorentina.") | |
| for ent in doc.ents: | |
| print(ent.text, ent.label_) | |
| ``` |