Instructions to use nikolab/speecht5_tts_hr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nikolab/speecht5_tts_hr with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="nikolab/speecht5_tts_hr")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("nikolab/speecht5_tts_hr") model = AutoModelForTextToSpectrogram.from_pretrained("nikolab/speecht5_tts_hr", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70b709a304ba4373063aa46a855714aafa1897300b43ca8e2faefe22146e201d
- Size of remote file:
- 578 MB
- SHA256:
- 495fb1711c7cb2c13636ffbeeb8b827bb7051fc4168249831200a1bc91a20ae5
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