Instructions to use semaj83/speecht5_finetuned_multilingual_librispeech_de with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use semaj83/speecht5_finetuned_multilingual_librispeech_de with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="semaj83/speecht5_finetuned_multilingual_librispeech_de")# Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("semaj83/speecht5_finetuned_multilingual_librispeech_de") model = AutoModelForTextToSpectrogram.from_pretrained("semaj83/speecht5_finetuned_multilingual_librispeech_de") - Notebooks
- Google Colab
- Kaggle
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