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robbert-2023-abb-agendapunten-classifier
svercoutere/robbert-2023-abb-agendapunten-classifier
robbert-2023-abb-agendapunten-classifier is a machine learning model from svercoutere. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
Multilabel classifier built using svercoutere/robbert-2023-dutch-base-abb, trained on the data of Lokaal Beslist. Specifically, we used the subset of svercoutere/llama3abbinstructdataset related to the classification…
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Public
Updated Jun 25, 2024
Repo size
518 MB
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At a glance
- License
- mit
- Access
- Public
- Created
- Jun 24, 2024
- Updated
- Jun 25, 2024
- SHA
- d4c94f6d
Datasets
Model card
From the Hugging Face model README
RobBERT-2023-abb-classifier: Model fine-tuned on Flemish Local Decisions for ABB
Multilabel classifier built using svercoutere/robbert-2023-dutch-base-abb, trained on the data of Lokaal Beslist. Specifically, we used the subset of svercoutere/llama3_abb_instruct_dataset related to the classification of agenda items. The model assigns one or more labels from the following top-level categories:
[ 'stadsbestuur' 'samenleven, welzijn en gezondheid' 'wonen en (ver)bouwen' 'groen en milieu' 'mobiliteit en openbare werken' 'cultuur, sport en vrije tijd' 'werken en ondernemen' 'onderwijs en kinderopvang' 'burgerzaken' 'veiligheid en preventie' ]
How to use
Download the files, load them into spaCy, and use as follows:
import spacy
nlp = spacy.load("../robbert-2023-abb-agendapunten-classifier")
text = """
2021_CBS_01153 - 2021/00226M - Aktename melding voor het bouwen van een veranda langs Berkenstraat 3 in 3950 Bocholt - Goedkeuring Aktename melding voor het bouwen van een veranda langs de Berkenstraat
"""
doc = nlp(text)
print(doc.cats)
- License
- mit
- Languages
- nl
- Created
- Jun 24, 2024
- Updated
- Jun 25, 2024