Instructions to use facebook/mms-tts-bts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-bts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-bts")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-bts") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-bts") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- c19b8544b6624034caa6f15436227ba95b8e1f0a6020132a707b9479c56d9180
- Size of remote file:
- 145 MB
- SHA256:
- 571b4feab458d5503def509f56535459c35b7c0b4ee90fe2aaab39ed7bc64371
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