Instructions to use MehdiAslam/speecht5_Mehdi_Final_Model with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MehdiAslam/speecht5_Mehdi_Final_Model with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-audio", model="MehdiAslam/speecht5_Mehdi_Final_Model")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("MehdiAslam/speecht5_Mehdi_Final_Model") model = AutoModelForTextToSpectrogram.from_pretrained("MehdiAslam/speecht5_Mehdi_Final_Model") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9693bc8341bf64e74f924d8b5ebe0bee8bbbf4296221eda72bbffccb5bd7fd2e
- Size of remote file:
- 5.5 kB
- SHA256:
- 51b23e82a7c55025d71e456eef867dbee763e0acf1b84fdcb3cd22605c94640a
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