Text-to-Speech
Transformers
TensorBoard
Safetensors
Turkish
speecht5
text-to-audio
Generated from Trainer
Instructions to use umarigan/speecht5_tts_tr_v1.0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use umarigan/speecht5_tts_tr_v1.0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="umarigan/speecht5_tts_tr_v1.0")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("umarigan/speecht5_tts_tr_v1.0") model = AutoModelForTextToSpectrogram.from_pretrained("umarigan/speecht5_tts_tr_v1.0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1a00448a0b26be8534036ff1d91af555b59f9bfbd18dc07b5d8e7c35ce99d664
- Size of remote file:
- 5.37 kB
- SHA256:
- ec5849baf8b06891a8ba2f2f4085f2a45f148e2026dbcd349f5c8a83f19fc5c5
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