Mention MLX
#3
by
pcuenq
HF staff
- opened
README.md
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For more details, see our [blog post](https://cartesia.ai/blog/on-device).
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## Usage
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### Installation
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The Rene model depends on the `cartesia-pytorch` package, which can be installed with `pip` as follows:
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```shell
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For more details, see our [blog post](https://cartesia.ai/blog/on-device).
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## Usage
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This is the PyTorch version of the model, and it's intended to run on CUDA devices. For use on Mac computers, please use [the native MLX version](https://huggingface.co/cartesia-ai/Rene-v0.1-1.3b-4bit-mlx) instead.
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### Installation
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The Rene model depends on the `cartesia-pytorch` package, which can be installed with `pip` as follows:
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```shell
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