m0_flat_ner_ref_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 : ground-truth
- 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_ref_ptrn_cmbert_io")
model = AutoModelForTokenClassification.from_pretrained("nlpso/m0_flat_ner_ref_ptrn_cmbert_io")
