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doc: demo #23

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Oct 23, 2023
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doc: demo #23

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Expand Up @@ -9,24 +9,26 @@ High-performance inference of [Meta's Encodec](https://github.com/facebookresear

- Plain C/C++ implementation without dependencies using [ggml](https://github.com/ggerganov/ggml)

The entire implementation of the model is contained in 3 source files:
## Demo

Here is a demo of running Encodec on a single M1 MacBook Pro:


Tensor operations: ggml.h / ggml.c<br/>
Inference: encodec.h / encodec.cpp

## Roadmap

- [x] Support of 24Khz model
- [ ] Support of 48Khz model
- [ ] Encodec's language model support
- [x] Mixed F16 / F32 precision

- [ ] 4-bit and 8-bit quantization
- [ ] Metal support
- [ ] cuBLAS support

## Implementation details

- The core tensor operations are implemented in C ([ggml.h](ggml.h) / [ggml.c](ggml.c))
- The encoder-decoder architecture and the high-level C-style API are implemented in C++ ([encodec.h](encodec.h) / [encodec.cpp](encodec.cpp))
- Basic usage is demonstrated in [main.cpp](examples/main)
- Basic usage is demonstrated in [main.cpp](examples/main).


## Usage

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