Instructions to use facebook/mms-tts-kik with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-kik with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-kik")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-kik") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-kik", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 70e47ab7a7aa5333bf00e82c4c415fe7361e239bc6d35960a657497c46f5e371
- Size of remote file:
- 145 MB
- SHA256:
- 84ca176cbdfef8e27494c1b355f089c3a444b6f39799553c921fe600dfee7f5d
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