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README.md
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### ViConBERT models <a name="models2"></a>
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[`tkhangg0910/viconbert-base`](https://huggingface.co/tkhangg0910/viconbert-base) | 135M | base | 256 | [ViConWSD](https://huggingface.co/tkhangg0910/ViConWSD)
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[`tkhangg0910/viconbert-large`](https://huggingface.co/tkhangg0910/viconbert-large) | 370M | large | 256 | [ViConWSD](https://huggingface.co/tkhangg0910/ViConWSD)
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### Example usage <a name="usage2"></a>
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SpanExtractor and text_normalize are implemented in [`code`](https://github.com/tkhangg0910/ViConBERT/tree/main/utils)
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```python
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### ViConBERT models <a name="models2"></a>
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Model | #params | Arch. | Max length | Training data
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[`tkhangg0910/viconbert-base`](https://huggingface.co/tkhangg0910/viconbert-base) | 135M | base | 256 | [ViConWSD](https://huggingface.co/tkhangg0910/ViConWSD)
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[`tkhangg0910/viconbert-large`](https://huggingface.co/tkhangg0910/viconbert-large) | 370M | large | 256 | [ViConWSD](https://huggingface.co/tkhangg0910/ViConWSD)
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### Example usage <a name="usage2"></a>
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SpanExtractor and text_normalize are implemented in [`code`](https://github.com/tkhangg0910/ViConBERT/tree/main/utils)
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```python
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