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latin-ner
eyldlv/latin-ner
latin-ner is a token classification model from eyldlv. Use it when you need labels on individual words, such as names. It is set up for spacy.
Trained using letters from the Bullinger collection, based on mbert.
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Public
Updated Jan 16, 2023
Repo size
673 MB
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At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- Jan 16, 2023
- Updated
- Jan 16, 2023
- SHA
- 6005ffe3
Model card
From the Hugging Face model README
NER for Latin
Trained using letters from the Bullinger collection, based on mbert.
How to use
import spacy
nlp = spacy.load('./enhg_pipeline')
doc = nlp('Norimberga in proximum quoddam Ulmensibus oppidulum Leypphaim sese contulit, certa spe recuperandae sedis, e qua nuper est detrusus.')
for ent in doc.ents:
print(ent.text, ent.label_)
# Output:
# Norimberga GEO
# Ulmensibus GEO
Evaluation
- F-Score: 0.8970679975
- Precision: 0.8860135551,
- Recall: 0.9084017688,
- Task
- Token Classification
- Library
- spacy
- Languages
- la
- Created
- Jan 16, 2023
- Updated
- Jan 16, 2023