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")# 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
Adding `safetensors` variant of this model
#1
by SFconvertbot - opened
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:bd84a1134d0c13796c01ccfa10aac4fc3455b809d6319597a6989077f8b0c5c7
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size 577789320
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