Text-to-Audio
Transformers
PyTorch
Japanese
parler_tts
text-generation
text-to-speech
annotation
japanese
Instructions to use 2121-8/japanese-parler-tts-mini-bate with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use 2121-8/japanese-parler-tts-mini-bate with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="2121-8/japanese-parler-tts-mini-bate")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("2121-8/japanese-parler-tts-mini-bate", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8f0fb35caee8d546a4ff08fffbe1a734757e25027918c9e6dff4c7042e0ed7d2
- Size of remote file:
- 3.51 GB
- SHA256:
- 68c2d2810744ca28010d30cb48073c61180d499899cd862cb3dbd3cd75510e3a
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