Instructions to use facebook/mms-tts-ory with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-ory with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-ory")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-ory") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-ory") - Notebooks
- Google Colab
- Kaggle
Create requirements.txt
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by akhilbattula - opened
- requirements.txt +10 -0
requirements.txt
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torch>=1.9.0
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transformers>=4.33.0
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scipy>=1.7.0
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numpy>=1.21.0
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accelerate>=0.12.0
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torchaudio
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functions-framework==3.*
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flask==2.*
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pydub>=0.25.1
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ffmpeg
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