docs: neutralize TranslateBlue references in README
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README.md
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@@ -19,7 +19,7 @@ pipeline_tag: text-to-speech
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Core ML (`.mlpackage`) exports of the **ToneColorConverter** from [myshell-ai/OpenVoiceV2](https://huggingface.co/myshell-ai/OpenVoiceV2), for on-device inference on **macOS** and **iOS** with Apple’s Core ML runtime.
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This repository is **private** and intended for
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## What’s included
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@@ -38,7 +38,7 @@ Sampling rate and STFT settings match the OpenVoice V2 converter (e.g. **22050 H
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## Audio samples
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Example WAV outputs are in the [`samples/`](https://huggingface.co/aoiandroid/OpenVoiceV2-CoreML-
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| File | Description |
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|------|-------------|
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@@ -66,7 +66,7 @@ See `samples/SAMPLE_INFO.md` for a short legend.
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```bash
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export HF_TOKEN="***" # read token with access to this private repo
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huggingface-cli download aoiandroid/OpenVoiceV2-CoreML-
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```
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Or with Python:
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@@ -74,8 +74,8 @@ Or with Python:
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```python
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from huggingface_hub import snapshot_download
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snapshot_download(
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"aoiandroid/OpenVoiceV2-CoreML-
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local_dir="OpenVoiceV2-CoreML-
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token=os.environ["HF_TOKEN"],
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)
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```
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@@ -92,4 +92,4 @@ If you use OpenVoice, cite the upstream project as in the [official repository](
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---
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*Model card maintained for the
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Core ML (`.mlpackage`) exports of the **ToneColorConverter** from [myshell-ai/OpenVoiceV2](https://huggingface.co/myshell-ai/OpenVoiceV2), for on-device inference on **macOS** and **iOS** with Apple’s Core ML runtime.
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This repository is **private** and intended for on-device iOS / internal workflows. It does **not** include the PyTorch checkpoints or MeloTTS—only the converted Core ML packages and small JSON sidecars describing tensor layouts.
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## What’s included
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## Audio samples
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Example WAV outputs are in the [`samples/`](https://huggingface.co/aoiandroid/OpenVoiceV2-CoreML-mirror/tree/main/samples) folder (listening tests only):
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| File | Description |
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|------|-------------|
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```bash
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export HF_TOKEN="***" # read token with access to this private repo
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huggingface-cli download aoiandroid/OpenVoiceV2-CoreML-mirror --local-dir ./OpenVoiceV2-CoreML-on-device iOS client
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```
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Or with Python:
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```python
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from huggingface_hub import snapshot_download
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snapshot_download(
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"aoiandroid/OpenVoiceV2-CoreML-mirror",
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local_dir="OpenVoiceV2-CoreML-on-device iOS client",
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token=os.environ["HF_TOKEN"],
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)
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```
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---
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*Model card maintained for the on-device iOS client OpenVoice V2 Core ML export (2026).*
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