Historical NER Person & Location
Collection
A collection of NER models designed for extracting location & person entities from historical texts along with the preprocessed train dataset. • 2 items • Updated
How to use NikosKprl/en_deberta_v3_base_ner_historical_place with spaCy:
!pip install https://huggingface.co/NikosKprl/en_deberta_v3_base_ner_historical_place/resolve/main/en_deberta_v3_base_ner_historical_place-any-py3-none-any.whl
# Using spacy.load().
import spacy
nlp = spacy.load("en_deberta_v3_base_ner_historical_place")
# Importing as module.
import en_deberta_v3_base_ner_historical_place
nlp = en_deberta_v3_base_ner_historical_place.load()A Named Entity Recognition (NER) model specialized in detecting historical place mentions.
| Feature | Description |
|---|---|
| Name | en_deberta_v3_base_ner_historical_place |
| Version | 1.0 |
| spaCy | >=3.8.14,<3.9.0 |
| License | MIT |
| Component | Labels |
|---|---|
ner |
PLACE |
| Type | Score |
|---|---|
ENTS_F |
95.39 |
ENTS_P |
95.73 |
ENTS_R |
95.05 |
Base model
microsoft/deberta-v3-base