Instructions to use pjox/dalembert-classical-fr-pos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Flair
How to use pjox/dalembert-classical-fr-pos with Flair:
from flair.models import SequenceTagger tagger = SequenceTagger.load("pjox/dalembert-classical-fr-pos") - Notebooks
- Google Colab
- Kaggle
D'AlemBERT-POS model
This model is fine-tuned version of a D'AlemBERT on the FreEMLPM corpus for Early Modern French. It was introduced in this paper.
BibTeX entry and citation info
@inproceedings{gabay-etal-2022-freem,
title = "From {F}re{EM} to D{'}{A}lem{BERT}: a Large Corpus and a Language Model for Early {M}odern {F}rench",
author = "Gabay, Simon and
Ortiz Suarez, Pedro and
Bartz, Alexandre and
Chagu{\'e}, Alix and
Bawden, Rachel and
Gambette, Philippe and
Sagot, Beno{\^\i}t",
booktitle = "Proceedings of the Thirteenth Language Resources and Evaluation Conference",
month = jun,
year = "2022",
address = "Marseille, France",
publisher = "European Language Resources Association",
url = "https://aclanthology.org/2022.lrec-1.359",
pages = "3367--3374",
abstract = "anguage models for historical states of language are becoming increasingly important to allow the optimal digitisation and analysis of old textual sources. Because these historical states are at the same time more complex to process and more scarce in the corpora available, this paper presents recent efforts to overcome this difficult situation. These efforts include producing a corpus, creating the model, and evaluating it with an NLP task currently used by scholars in other ongoing projects.",
}
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