Text-to-Speech
Transformers
TensorBoard
Safetensors
speechbrain
English
speecht5
text-to-audio
speech
tts
style-transfer
emotion
wavlm
gradio
sagemaker
Instructions to use Amirhossein75/Emotion-Aware-TTS-Style-Transfer with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Amirhossein75/Emotion-Aware-TTS-Style-Transfer with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Amirhossein75/Emotion-Aware-TTS-Style-Transfer")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Amirhossein75/Emotion-Aware-TTS-Style-Transfer") model = AutoModelForTextToSpectrogram.from_pretrained("Amirhossein75/Emotion-Aware-TTS-Style-Transfer", device_map="auto") - speechbrain
How to use Amirhossein75/Emotion-Aware-TTS-Style-Transfer with speechbrain:
# interface not specified in config.json
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 150bee499bf41eb6b8a8cb9277fc02dc0e234ef0092d44ff5c53150dad1c0d1b
- Size of remote file:
- 1.47 kB
- SHA256:
- 5186565a906d7db433e54fbfdb3d62aa206e2cb82464d6a3316608741a692047
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