Instructions to use facebook/mms-tts-nya with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-nya with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-nya")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-nya") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-nya") - Notebooks
- Google Colab
- Kaggle
Commit ·
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Parent(s): 8adea8e
Upload model
Browse files- model.safetensors +3 -0
model.safetensors
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oid sha256:961c7c280547a63abf631167897c09f153bd8c8adaa8fe6eb5bb7db0409007c9
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size 145228280
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