Instructions to use MehdiAslam/speecht5_Mehdi_Final_Model_2nd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MehdiAslam/speecht5_Mehdi_Final_Model_2nd 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_2nd")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("MehdiAslam/speecht5_Mehdi_Final_Model_2nd") model = AutoModelForTextToSpectrogram.from_pretrained("MehdiAslam/speecht5_Mehdi_Final_Model_2nd") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d3b9a8583f9ad139790c6e8a6ba1b5dd4f3d89c49144f55418e793aadc35e43e
- Size of remote file:
- 5.5 kB
- SHA256:
- 978c7dbce2a4c416ece0bde686a5fbeaaf9a6ed5ccc1a9ad2288401882c5d15c
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