Instructions to use Alidr79/speecht5_v2_4000_best with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alidr79/speecht5_v2_4000_best with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Alidr79/speecht5_v2_4000_best")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Alidr79/speecht5_v2_4000_best") model = AutoModelForTextToSpectrogram.from_pretrained("Alidr79/speecht5_v2_4000_best", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5d535dde1d88d6f21853248b8f5aa44d8de3e1888b4a0f0189e3423b2cb5544f
- Size of remote file:
- 578 MB
- SHA256:
- afd30f15f815e77e9b7b066636e108d1923cb44711f079712eceb2d4035ed15e
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