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:
- 5ae7dde5b6fd5659cb3b0f2d5fbefcbe18a67f0834ce1f289d99d6f31ef16a6e
- Size of remote file:
- 1.47 kB
- SHA256:
- 32cb3a0b1d61782860d37955716f6b5e952b190320ed6c3b93171c974f9325c9
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