Text-to-Audio
Transformers
PyTorch
Japanese
parler_tts
text-generation
text-to-speech
annotation
japanese
Instructions to use 2121-8/japanese-parler-tts-large-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-large-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-large-bate")# Load model directly from transformers import AutoModelForSeq2SeqLM model = AutoModelForSeq2SeqLM.from_pretrained("2121-8/japanese-parler-tts-large-bate", dtype="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8e0c200edb2febf9e70249079ed6d53ef1e93b7182f78a9fc4c8c0cd773b59cc
- Size of remote file:
- 9.33 GB
- SHA256:
- aede7784072aaed268b050f54adbfea107f7735ae689c27d4fa400036d87d317
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