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## Model description
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This is the set of Chinese T5 models pre-trained by [UER-py](https://arxiv.org/abs/1909.05658).
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The Text-to-Text Transfer Transformer (T5) leverages a unified text-to-text format and attains state-of-the-art results on a wide variety of English-language NLP tasks. Following their work, we released a series of Chinese T5 models.
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| -------- | :-----------------------: |
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| **T5-Small** | [**L=6/H=512 (Small)**][small] |
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## Model description
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This is the set of Chinese T5 models pre-trained by [UER-py](https://github.com/dbiir/UER-py/), which is introduced in [this paper](https://arxiv.org/abs/1909.05658).
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The Text-to-Text Transfer Transformer (T5) leverages a unified text-to-text format and attains state-of-the-art results on a wide variety of English-language NLP tasks. Following their work, we released a series of Chinese T5 models.
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You can download the set of Chinese T5 models either from the [UER-py Modelzoo page](https://github.com/dbiir/UER-py/wiki/Modelzoo), or via HuggingFace from the links below:
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| -------- | :-----------------------: |
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| **T5-Small** | [**L=6/H=512 (Small)**][small] |
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