en-ner-en

English Named Entity Recognition model built with spaCy.

Labels

Label	Precision	Recall	F1
PERSON	0.955	0.978	0.966
ORGANIZATION	0.952	0.980	0.966
DATE_OF_BIRTH	0.913	0.975	0.943
ADDRESS	0.967	0.982	0.975
BANK_ACCOUNT	0.968	0.897	0.931

Architecture

• Pipeline: tok2vec → ner (CNN)
• spaCy version: >=3.8.13,<3.9.0

Install

pip install https://huggingface.co/0xhikae/en-ner-en/resolve/main/en_ner_en-0.1.0.tar.gz

Usage

import spacy
nlp = spacy.load("en_ner_en")
doc = nlp("John Smith lives at 123 Main Street, New York.")
for ent in doc.ents:
    print(ent.text, ent.label_)