| | --- |
| | language: fr |
| | datasets: |
| | - nlpso/m0_fine_tuning_ref_ptrn_cmbert_io |
| | tag: token-classification |
| | widget: |
| | - text: 'Duflot, loueur de carrosses, r. de Paradis-
505
Poissonnière, 22.' |
| | example_title: 'Noisy entry #1' |
| | - text: 'Duſour el Besnard, march, de bois à bruler,
quai de la Tournelle, 17. etr. des Fossés-
SBernard. 11.
Dí' |
| | example_title: 'Noisy entry #2' |
| | - text: 'Dufour (Charles), épicier, r. St-Denis
☞
332' |
| | example_title: 'Ground-truth entry #1' |
| | --- |
| | |
| | # m0_flat_ner_ref_ptrn_cmbert_io |
| |
|
| | ## Introduction |
| |
|
| | This model is a fine-tuned verion from [HueyNemud/das22-10-camembert_pretrained](https://huggingface.co/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](https://huggingface.co/HueyNemud/das22-10-camembert_pretrained) |
| | * Dataset : ground-truth |
| | * 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_ref_ptrn_cmbert_io") |
| | model = AutoModelForTokenClassification.from_pretrained("nlpso/m0_flat_ner_ref_ptrn_cmbert_io") |
| | |
