Text-to-Speech
Transformers
PyTorch
Turkish
speecht5
text-to-audio
turkish
speech-generation
Generated from Trainer
Instructions to use deryauysal/speechT5_tts_openSLR_tr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use deryauysal/speechT5_tts_openSLR_tr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="deryauysal/speechT5_tts_openSLR_tr")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("deryauysal/speechT5_tts_openSLR_tr") model = AutoModelForTextToSpectrogram.from_pretrained("deryauysal/speechT5_tts_openSLR_tr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 35f0407eb07374463e1ff80b16ddc952628a39a44112f1e6eed1a3a862de3b5f
- Size of remote file:
- 4.22 kB
- SHA256:
- 2135543fec9f45fdc219d5b8f81b4b048d831b765d4359e36dff2f84d76a3895
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.