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NER_legal_de
Sahajtomar/NER_legal_de
NER_legal_de is a token classification model from Sahajtomar. Use it when you need labels on individual words, such as names. It is set up for transformers.
MODEL used for fine tuning is GBERT Large by deepset.ai
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Repo size
5.4 GB
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3
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At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Mar 2, 2022
- Updated
- May 18, 2021
- SHA
- 4db2b2c5
Model card
From the Hugging Face model README
NER model trained on BERT
MODEL used for fine tuning is GBERT Large by deepset.ai
Test
Accuracy: 98
F1: 84.1
Precision: 82.7
Recall: 85.5
Model inferencing:
!pip install -q transformers
from transformers import pipeline
ner = pipeline(
"ner",
model="Sahajtomar/NER_legal_de",
tokenizer="Sahajtomar/NER_legal_de")
nlp_ner("Für eine Zuständigkeit des Verwaltungsgerichts Berlin nach § 52 Nr. 1 bis 4 VwGO hat der \
Antragsteller keine Anhaltspunkte vorgetragen .")
- Task
- Token Classification
- Library
- transformers
- Type
- bert
- Languages
- de
- Created
- Mar 2, 2022
- Updated
- May 18, 2021