Instructions to use committa/it_IT-serena-medium-checkpoint with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Piper
How to use committa/it_IT-serena-medium-checkpoint with Piper:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
committa commited on
Commit ·
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Parent(s): 4c29ddc
serena checkpoint epoch 94 (medium, base per finetuning italiano)
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README.md
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@@ -20,7 +20,8 @@ Finetuning base checkpoint for Piper TTS (VITS), trained **from scratch** on Ita
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- Base voice: **serena** — female, neutral Standard Italian (no regional accent), synthetic
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- Training: **94 epochs** from scratch, batch 10, 29,470 clips (27 h)
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- Dataset: [committa/serena-synthetic-it-27h](https://huggingface.co/datasets/committa/serena-synthetic-it-27h)
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- File: `epoch=94-step=559930.ckpt` — **keep this filename**
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## Why this checkpoint
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**both female and male target voices**: the timbre is learned from the new dataset, so with
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enough epochs the new voice fully takes over.
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### TextyMcSpeechy dojo
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Copy the `.ckpt` into `tts_dojo/PRETRAINED_CHECKPOINTS/default/F_voice/medium/` (or the dojo's
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`pretrained_tts_checkpoint/` folder) and select the "pretrained checkpoint" option in `train.sh`.
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## License
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CC-BY-4.0 — derived from [committa/serena-synthetic-it-27h](https://huggingface.co/datasets/committa/serena-synthetic-it-27h).
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- Base voice: **serena** — female, neutral Standard Italian (no regional accent), synthetic
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- Training: **94 epochs** from scratch, batch 10, 29,470 clips (27 h)
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- Dataset: [committa/serena-synthetic-it-27h](https://huggingface.co/datasets/committa/serena-synthetic-it-27h)
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- File: `epoch=94-step=559930.ckpt` — **keep this filename** (piper_train convention:
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`epoch=N-step=M`), which tooling uses to pick the highest checkpoint
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## Why this checkpoint
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**both female and male target voices**: the timbre is learned from the new dataset, so with
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enough epochs the new voice fully takes over.
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## License
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CC-BY-4.0 — derived from [committa/serena-synthetic-it-27h](https://huggingface.co/datasets/committa/serena-synthetic-it-27h).
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