m3_hierarchical_ner_ref_ptrn_cmbert_iob2

Introduction

This model is a fine-tuned verion from Jean-Baptiste/camembert-ner for nested NER task on a nested NER Paris trade directories dataset.

Dataset

Abbreviation	Entity group (level)	Description
O	1 & 2	Outside of a named entity
PER	1	Person or company name
ACT	1 & 2	Person or company professional activity
TITREH	2	Military or civil distinction
DESC	1	Entry full description
TITREP	2	Professionnal reward
SPAT	1	Address
LOC	2	Street name
CARDINAL	2	Street number
FT	2	Geographical feature

Experiment parameter

• Pretrained-model : Jean-Baptiste/camembert-ner
• Dataset : ground-truth
• Tagging format : IOB2
• Recognised entities : 'All'

Load model from the Hugging Face

from transformers import AutoTokenizer, AutoModelForTokenClassification

tokenizer = AutoTokenizer.from_pretrained("nlpso/m3_hierarchical_ner_ref_ptrn_cmbert_iob2")
model = AutoModelForTokenClassification.from_pretrained("nlpso/m3_hierarchical_ner_ref_ptrn_cmbert_iob2")