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:
- c938e3e21489291476a470d5cf569caa2b627d0bebae8a0c593b048b9acb9d07
- Size of remote file:
- 1.47 kB
- SHA256:
- 700b408dba7ef9825c572f76cd9846e502c0ecd58f44e9e252d68786437bee70
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.