Instructions to use facebook/mms-tts-hns with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-hns with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-hns")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-hns") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-hns", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3278493a0ad9543717c768dd88711c9cb64e635ae92e2c0789956d94c2e41fbe
- Size of remote file:
- 145 MB
- SHA256:
- c52900cdff41be33805922e56b4faa8c131d2af64916fdd6e2bb5d22c6c6d44a
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