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robust-swedish-sentiment-multiclass
KBLab/robust-swedish-sentiment-multiclass
robust-swedish-sentiment-multiclass is a text classification model from KBLab. Use it when you need a label for a piece of text. It is set up for transformers. The card lists the license as apache-2.0.
The National Library of Sweden/KBLab releases a robust, multi-label sentiment classifier finetuned on Megatron-BERT-large-165K. The model was trained on approximately 75K Swedish texts from multiple linguistic domains…
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Model card
From the Hugging Face model README
The National Library of Sweden/KBLab releases a robust, multi-label sentiment classifier finetuned on Megatron-BERT-large-165K. The model was trained on approximately 75K Swedish texts from multiple linguistic domains and datasets.
There is a post on the KBLab blog describing the model in further detail.
Citation
@misc{hägglöf2023a,
author = {Hägglöf, Hillevi},
title = {The KBLab Blog: A robust, multi-label sentiment classifier for Swedish},
url = {https://kb-labb.github.io/posts/2023-06-16-a-robust-multi-label-sentiment-classifier-for-swedish/},
year = {2023}
}
- Task
- Text Classification
- Library
- transformers
- Type
- megatron-bert
- License
- apache-2.0
- Languages
- sv
- Created
- May 8, 2023
- Updated
- Dec 8, 2023