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nlpso/m0_flat_ner_ocr_ptrn_cmbert_io

sourceHugging Faceupdated 4y agoView on Hugging Face

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Model Card

m0flatnerocrptrncmbertio

Introduction

This model is a fine-tuned verion from HueyNemud/das22-10-camembert_pretrained for nested NER task on a nested NER Paris trade directories dataset.

Dataset

Abbreviation	Description
O	Outside of a named entity
PER	Person or company name
ACT	Person or company professional activity
TITRE	Distinction
LOC	Street name
CARDINAL	Street number
FT	Geographical feature

Experiment parameter

—Pretrained-model : HueyNemud/das22-10-camembert_pretrained
—Dataset : noisy (Pero OCR)
—Tagging format : IO
—Recognised entities : All (flat entities)

Load model from the HuggingFace

python

from transformers import AutoTokenizer, AutoModelForTokenClassification

tokenizer = AutoTokenizer.from_pretrained("nlpso/m0_flat_ner_ocr_ptrn_cmbert_io")
model = AutoModelForTokenClassification.from_pretrained("nlpso/m0_flat_ner_ocr_ptrn_cmbert_io")