ychafiqui/fr_job_info_extr_fr

French model for information extraction from Job postings

Feature	Description
Name	fr_job_info_extr_fr
Version	0.0.0
spaCy	>=3.5.1,<3.6.0
Default Pipeline	tok2vec, ner
Components	tok2vec, ner
Vectors	500000 keys, 500000 unique vectors (300 dimensions)
Sources	n/a
License	n/a
Author	Youssef Chafiqui

Label Scheme

View label scheme (8 labels for 1 components)

Component	Labels
ner	CONTRAT, EDUCATION, EXPERIENCE, HARD-SKILL, LANGUE, POSTE, SALAIRE, SOFT-SKILL

Accuracy

Type	Score
ENTS_F	96.10
ENTS_P	95.98
ENTS_R	96.22
TOK2VEC_LOSS	219378.28
NER_LOSS	68755.91

Usage

Presequities

Install spaCy library

pip install spacy

Download the model

pip install https://huggingface.co/ychafiqui/fr_job_info_extr_fr/resolve/main/fr_job_info_extr_fr-any-py3-none-any.whl

Load the model

import spacy
nlp = spacy.load("fr_job_info_extr_fr")

Inference using the model

doc = nlp('put your job description here')

for ent in doc.ents:
  print(ent.text, "-", ent.label_)