Text-to-Audio
Transformers
PyTorch
TensorBoard
Central Kurdish
speecht5
hf-tts-leaderboard
Generated from Trainer
Instructions to use SaberMolaei/speecht5_tts_ckb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SaberMolaei/speecht5_tts_ckb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SaberMolaei/speecht5_tts_ckb")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SaberMolaei/speecht5_tts_ckb") model = AutoModelForTextToSpectrogram.from_pretrained("SaberMolaei/speecht5_tts_ckb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- dee0c732d483d74a24748879d6fe403660a1adb110ca2d2b75e05bae4d72bd4b
- Size of remote file:
- 585 MB
- SHA256:
- 26f2679511da5b2a9be4c271f29af718c4a9dec33d95f083d6bd073e1d66f2e0
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