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# X-Codec2
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The X-Codec2 model was proposed in [Llasa: Scaling Train-Time and Inference-Time Compute for Llama-based Speech Synthesis](https://huggingface.co/papers/2502.04128).
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The original modeling code can be found [here](https://huggingface.co/HKUSTAudio/xcodec2/blob/main/modeling_xcodec2.py), while their training code is [here](https://github.com/zhenye234/X-Codec-2.0).
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## Usage example
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Here is a quick example of how to encode and decode an audio using this model:
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# X-Codec2 (Transformers-native)
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The X-Codec2 model was proposed in [Llasa: Scaling Train-Time and Inference-Time Compute for Llama-based Speech Synthesis](https://huggingface.co/papers/2502.04128).
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The original modeling code can be found [here](https://huggingface.co/HKUSTAudio/xcodec2/blob/main/modeling_xcodec2.py), while their training code is [here](https://github.com/zhenye234/X-Codec-2.0).
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## Setup
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X-Codec2 is supported natively in 🤗 Transformers. Until it is part of an official Transformers release, install from source:
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```bash
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pip install git+https://github.com/huggingface/transformers
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```
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## Usage example
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Here is a quick example of how to encode and decode an audio using this model:
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