Text-to-Audio
Transformers
PyTorch
TensorBoard
Russian
speecht5
tts, fine_tuned
Generated from Trainer
Instructions to use zaebee/speecht5_tts_common_ru with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use zaebee/speecht5_tts_common_ru with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="zaebee/speecht5_tts_common_ru")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("zaebee/speecht5_tts_common_ru") model = AutoModelForTextToSpectrogram.from_pretrained("zaebee/speecht5_tts_common_ru", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
-
update model card README.md
46c7069 -
update model card README.md
b60d6dc -
End of training
015158d -
Training in progress, step 4000
adb5351 -
Training in progress, step 3000
97b7484 -
Training in progress, step 2000
8e10069 -
Training in progress, step 1000
7309442 -
initial commit
ea99604