Instructions to use facebook/mms-tts-deu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-deu with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-deu")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-deu") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-deu", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f9d243d8db455e7d07bdebafa0f3ce45090136fbc549f64b78e305de091a3159
- Size of remote file:
- 145 MB
- SHA256:
- 01fe1181b0faad4dc8f61b15279425fc1d65642cc285de5045169290eb5d9a80
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