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
| license: cc-by-sa-4.0 | |
| language: | |
| - ja | |
| pipeline_tag: text-to-speech | |
| tags: | |
| - bert-vits2 | |
| 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。 | |
| jvnvコーパス | |
| https://sites.google.com/site/shinnosuketakamichi/research-topics/jvnv_corpus |