Text-to-Audio
Transformers
PyTorch
TensorBoard
Safetensors
Central Kurdish
speecht5
hf-tts-leaderboard
Generated from Trainer
Instructions to use SaberMolaei/speecht5_tts_ckb0 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use SaberMolaei/speecht5_tts_ckb0 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="SaberMolaei/speecht5_tts_ckb0")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("SaberMolaei/speecht5_tts_ckb0") model = AutoModelForTextToSpectrogram.from_pretrained("SaberMolaei/speecht5_tts_ckb0", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download added_tokens.json from SaberMolaei/speecht5_tts_ckb0: direct link, hf CLI and curl.
- Browser
- Download file 40 Bytes
-
https://huggingface.co/SaberMolaei/speecht5_tts_ckb0/resolve/7fada042ae6c07d5fcfb3700889cf98dc46f26a7/added_tokens.json
- Command line
-
hf download hf://SaberMolaei/speecht5_tts_ckb0@7fada042ae6c07d5fcfb3700889cf98dc46f26a7/added_tokens.json
-
curl -L -o added_tokens.json https://huggingface.co/SaberMolaei/speecht5_tts_ckb0/resolve/7fada042ae6c07d5fcfb3700889cf98dc46f26a7/added_tokens.json
40 Bytes
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