Instructions to use jasonvassallo/demucs-htdemucs-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use jasonvassallo/demucs-htdemucs-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir demucs-htdemucs-mlx jasonvassallo/demucs-htdemucs-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
Add converted HTDemucs v4 weights (MLX safetensors)
Browse files- config.json +45 -0
- model.safetensors +3 -0
config.json
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{
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"sources": [
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"drums",
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"bass",
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"other",
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"vocals"
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],
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"audio_channels": 2,
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"channels": 48,
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"growth": 2,
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"depth": 4,
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"nfft": 4096,
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"kernel_size": 8,
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"stride": 4,
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"time_stride": 2,
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"cac": true,
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"freq_emb": 0.2,
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"emb_scale": 10,
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"emb_smooth": true,
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"norm_starts": 4,
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"norm_groups": 4,
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"dconv_mode": 3,
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"dconv_depth": 2,
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"dconv_comp": 8,
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"dconv_init": 0.001,
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"rewrite": true,
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"context": 1,
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"context_enc": 0,
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"bottom_channels": 512,
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"t_layers": 5,
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"t_heads": 8,
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"t_hidden_scale": 4.0,
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"t_emb": "sin",
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"t_norm_first": true,
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"t_norm_in": true,
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"t_norm_out": true,
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"t_layer_scale": true,
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"t_gelu": true,
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"t_weight_pos_embed": 1.0,
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"t_max_period": 10000.0,
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"t_cross_first": false,
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"samplerate": 44100,
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"segment": 7.8,
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"use_train_segment": true
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}
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:50d904834f50980e1065f8727805211eed9ac94eb74ff8d0bd60211a4349b2f0
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size 168000888
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