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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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  <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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+ should probably proofread and complete it, then remove this comment. -->
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+ # <a name="introduction"></a>ViHateT5: Enhancing Hate Speech Detection in Vietnamese with A Unified Text-to-Text Transformer Model | ACL'2024 (Findings)
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+ **Disclaimer**: This paper contains examples from actual content on social media platforms that could be considered toxic and offensive.
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+ ViHateT5-HSD is the fine-tuned model of [ViHateT5](https://huggingface.co/tarudesu/ViHateT5-base) on multiple Vietnamese hate speech detection benchmark datasets.
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+ The architecture and experimental results of ViHateT5 can be found in the [paper](LINK):
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+ @inproceedings{
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+ }
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+ The pre-training dataset named VOZ-HSD is available at [HERE](https://huggingface.co/datasets/tarudesu/VOZ-HSD).
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+ Kindly **CITE** our paper if you use ViHateT5-HSD to generate published results or integrate it into other software.
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+ **Example usage**
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+ ```python
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+ from transformers import AutoTokenizer, AutoModelForSeq2SeqLM
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+ tokenizer = AutoTokenizer.from_pretrained("tarudesu/ViHateT5-base-HSD")
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+ model = AutoModelForSeq2SeqLM.from_pretrained("tarudesu/ViHateT5-base-HSD")
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+ ```
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+ Please feel free to contact us by email luannt@uit.edu.vn if you have any further information!