metadata

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
License	`MIT`
Author	Nicola Procopio

Description

SpaCy version of nickprock/bert-italian-finetuned-ner.

The original model is wrapped by 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_)