Instructions to use Dirdx/YuE2-3B-MLX-with-Hum-encoder with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Dirdx/YuE2-3B-MLX-with-Hum-encoder with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download Dirdx/YuE2-3B-MLX-with-Hum-encoder --local-dir YuE2-3B-MLX-with-Hum-encoder
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Update README.md
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README.md
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Native [MLX](https://github.com/ml-explore/mlx) port of [m-a-p/YuE2-3B](https://huggingface.co/m-a-p/YuE2-3B) (AR/NAR
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Mixture-of-Transformers music generation) with the [YuE2-Vae](https://huggingface.co/m-a-p/YuE2-Vae) decoder folded in.
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**This Repo contains an additional Encoder model**, which is used for the Hum lora feature in my pinokio app
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Runs on Apple Silicon with no PyTorch dependency. Lyrics + style prompt in, 48 kHz stereo song out, with optional
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editable ABC score planning.
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Upstream repo : https://huggingface.co/ahmadw/YuE2-3B-MLX
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Native [MLX](https://github.com/ml-explore/mlx) port of [m-a-p/YuE2-3B](https://huggingface.co/m-a-p/YuE2-3B) (AR/NAR
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Mixture-of-Transformers music generation) with the [YuE2-Vae](https://huggingface.co/m-a-p/YuE2-Vae) decoder folded in.
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**This Repo contains an additional Vae Encoder model**, which is used for the Hum lora feature in my pinokio app: https://github.com/Rdx-ai-art/yue2-mlx.pinokio.
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Runs on Apple Silicon with no PyTorch dependency. Lyrics + style prompt in, 48 kHz stereo song out, with optional
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editable ABC score planning.
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Upstream repo : https://huggingface.co/ahmadw/YuE2-3B-MLX
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