Instructions to use Edmon02/speecht5_finetuned_hy with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Edmon02/speecht5_finetuned_hy with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Edmon02/speecht5_finetuned_hy")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Edmon02/speecht5_finetuned_hy") model = AutoModelForTextToSpectrogram.from_pretrained("Edmon02/speecht5_finetuned_hy", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 0ef10a2e6bd0b9dc8516540fb3a057d64b2c891ba785ca63b9cbf31d64e42c49
- Size of remote file:
- 4.79 kB
- SHA256:
- 1ad06ab4bbf354dbb006f866e0a3ac0a88d8c74223df3a439e529a4a58c4bb67
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