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:
- c5ecd3f4b2c842d837f55c3e5a57ed3ebb005df497dcdfffec545ee34ec9b8ba
- Size of remote file:
- 4.09 kB
- SHA256:
- 3993c99b509f0dd9d4e68dfc70361a4ddba05f427f79e67f55a57c49e6157a59
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