Duplicate from schismaudio/scnet-base

Co-authored-by: Zak Keown <zkeown@users.noreply.huggingface.co>

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README.md

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+---
+tags:
+  - coreml
+  - audio
+  - music-source-separation
+  - schism
+license: mit
+---
+
+# SCNet Base
+
+CoreML model for [Schism](https://github.com/zakkeown/Schism) audio separation framework.
+
+SCNet Base (~10M params) for 4-stem separation
+
+## Details
+
+| Property | Value |
+|----------|-------|
+| Expert IDs | scnet-base |
+| Tasks | stemSeparation, vocalSeparation |
+| Quality | medium |
+| Est. RTF | 0.6 |
+| Peak Memory | 1024 MB |
+
+## Usage
+
+Install to your local Schism model store:
+
+```bash
+schism models install scnet-base
+```
+
+Or manually place in `~/.schism/models/scnet-base/v1.0.0/`.

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v1.0.0/SCNet_Base_metadata.json

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+  "precision": "float32",
+  "n_sources": 4,
+  "sources": [
+    "drums",
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+    "other",
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+  "sample_rate": 44100
+}

v1.0.0/metadata.json

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+{
+  "expertId": "scnet-base",
+  "name": "SCNet Base",
+  "version": "1.0.0",
+  "tasks": [
+    "stemSeparation",
+    "vocalSeparation"
+  ],
+  "qualityTier": "medium",
+  "estimatedRTF": 0.6,
+  "peakMemoryMB": 1024,
+  "inputKind": "mix",
+  "outputKind": "stems",
+  "sourceRepo": "schismaudio/scnet-base",
+  "outputStems": [
+    "drums",
+    "bass",
+    "other",
+    "vocals"
+  ],
+  "expertIds": [
+    "scnet-base"
+  ]
+}