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README.md
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@@ -93,8 +93,4 @@ The base model uses `number_text_tokens: 12000`. This finetune uses `2000` to ma
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| `bpe.model` | SentencePiece BPE tokenizer trained on Kazakh text |
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| `config.yaml` | Model config with `number_text_tokens: 2000` |
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Files not included (`s2mel.pth`, `feat1.pt`, `feat2.pt`, `qwen0.6bemo4-merge`) are part of the base model and should be downloaded from `IndexTeam/IndexTTS-2`.
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## Acknowledgements
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Thanks to **Nuraidar Mambetaly** and **Altair Balakhazy** for co-funding the compute resources used in this project.
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| `bpe.model` | SentencePiece BPE tokenizer trained on Kazakh text |
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| `config.yaml` | Model config with `number_text_tokens: 2000` |
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Files not included (`s2mel.pth`, `feat1.pt`, `feat2.pt`, `qwen0.6bemo4-merge`) are part of the base model and should be downloaded from `IndexTeam/IndexTTS-2`.
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