Text2Text Generation
Transformers
Safetensors
mt5
Inference Endpoints
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@@ -145,16 +145,16 @@ We fine-tune `5CD-AI/visocial-T5-base` on 3 downstream tasks with `transformers`
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  - eval_steps=0.1
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  ## References
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- [1][mT5: A massively multilingual pre-trained text-to-text transformer](https://arxiv.org/abs/2010.11934)
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- [2][ViSoBERT: A Pre-Trained Language Model for Vietnamese Social Media Text Processing](https://aclanthology.org/2023.emnlp-main.315/)
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- [3][The Amazon Polarity dataset](https://paperswithcode.com/dataset/amazon-polarity-1)
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- [4][PhoBERT: Pre-trained language models for Vietnamese](https://aclanthology.org/2020.findings-emnlp.92/)
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- [5][Improving Sequence Tagging for Vietnamese Text Using Transformer-based Neural Models](https://arxiv.org/abs/2006.15994)
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- [6][ViSoBERT: A Pre-Trained Language Model for Vietnamese Social Media Text Processing](https://aclanthology.org/2023.emnlp-main.315/)
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- [7][ViHateT5: Enhancing Hate Speech Detection in Vietnamese With A Unified Text-to-Text Transformer Model](https://arxiv.org/abs/2405.14141)
 
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  - eval_steps=0.1
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  ## References
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+ [1] [mT5: A massively multilingual pre-trained text-to-text transformer](https://arxiv.org/abs/2010.11934)
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+ [2] [ViSoBERT: A Pre-Trained Language Model for Vietnamese Social Media Text Processing](https://aclanthology.org/2023.emnlp-main.315/)
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+ [3] [The Amazon Polarity dataset](https://paperswithcode.com/dataset/amazon-polarity-1)
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+ [4] [PhoBERT: Pre-trained language models for Vietnamese](https://aclanthology.org/2020.findings-emnlp.92/)
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+ [5] [Improving Sequence Tagging for Vietnamese Text Using Transformer-based Neural Models](https://arxiv.org/abs/2006.15994)
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+ [6] [ViSoBERT: A Pre-Trained Language Model for Vietnamese Social Media Text Processing](https://aclanthology.org/2023.emnlp-main.315/)
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+ [7] [ViHateT5: Enhancing Hate Speech Detection in Vietnamese With A Unified Text-to-Text Transformer Model](https://arxiv.org/abs/2405.14141)