Instructions to use Sourabh2/speecht5_finetuned_model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Sourabh2/speecht5_finetuned_model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="Sourabh2/speecht5_finetuned_model")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("Sourabh2/speecht5_finetuned_model") model = AutoModelForTextToSpectrogram.from_pretrained("Sourabh2/speecht5_finetuned_model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- ad91b86e159da0db37eafad70dc3c6131ec14101d328d33b9e55b5e9bb484110
- Size of remote file:
- 585 MB
- SHA256:
- 7f32518307e233da7ad9887ae078b78668266c04a9252f7fa16484b7ea426d5f
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