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m0_flat_ner_ocr_ptrn_cmbert_io
nlpso/m0_flat_ner_ocr_ptrn_cmbert_io
m0_flat_ner_ocr_ptrn_cmbert_io is a token classification model from nlpso. Use it when you need labels on individual words, such as names. It is set up for transformers.
This model is a fine-tuned verion from HueyNemud/das22-10-camembertpretrained for nested NER task on a nested NER Paris trade directories dataset.
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At a glance
- Task
- Token Classification
- Library
- transformers
- Model type
- camembert
- Access
- Public
- Created
- Feb 9, 2023
- Updated
- Feb 16, 2023
- SHA
- a3d64731
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Model card
From the Hugging Face model README
m0_flat_ner_ocr_ptrn_cmbert_io
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
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")
- Task
- Token Classification
- Library
- transformers
- Type
- camembert
- Languages
- fr
- Created
- Feb 9, 2023
- Updated
- Feb 16, 2023