Instructions to use yasyune/bert_vits2_2.2_jvnv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use yasyune/bert_vits2_2.2_jvnv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="yasyune/bert_vits2_2.2_jvnv")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("yasyune/bert_vits2_2.2_jvnv", dtype="auto") - Notebooks
- Google Colab
- Kaggle
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license: cc-by-sa-4.0
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license: cc-by-sa-4.0
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language:
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- ja
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pipeline_tag: text-to-speech
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tags:
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- bert-vits2
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jvnvコーパスのF2から学習して作成したbert-vits2の日本語モデルです。
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jvnvコーパス
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https://sites.google.com/site/shinnosuketakamichi/research-topics/jvnv_corpus
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