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enhg-ner
eyldlv/enhg-ner
enhg-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.
Based on the SpaCy German model and trained on letters from the Bullinger collection
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At a glance
- Task
- Token Classification
- Library
- spacy
- Access
- Public
- Created
- Jan 16, 2023
- Updated
- Jan 16, 2023
- SHA
- f12da35e
Try a prompt
Model card
From the Hugging Face model README
NER for Early New High German (Frühneuhochdeutsch)
Based on the SpaCy German model and trained on letters from the Bullinger collection
How to use
import spacy
nlp = spacy.load('./enhg-ner')
doc = nlp('Ich hab euch uff gestert ouch by ainem mennlin von Strasburg geschriben mitt ainem brieff gen Bern gehörig.')
for ent in doc.ents:
print(ent.text, ent.label_)
# Output:
# Strasburg GEO
# Bern GEO
- Task
- Token Classification
- Library
- spacy
- Created
- Jan 16, 2023
- Updated
- Jan 16, 2023