Instructions to use microsoft/speecht5_tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use microsoft/speecht5_tts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="microsoft/speecht5_tts")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("microsoft/speecht5_tts") model = AutoModelForTextToSpectrogram.from_pretrained("microsoft/speecht5_tts") - Notebooks
- Google Colab
- Kaggle
Fix config files
#8
by Matthijs - opened
No description provided.
I made changes to the code to support fine-tuning, which required changes to the config files. Notably the tokenizer needs to have the mask and ctc_blank tokens, even if not used during inference.
Matthijs changed pull request status to open
nielsr changed pull request status to merged