Instructions to use facebook/mms-tts-isl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-isl with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-isl")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-isl") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-isl", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5eda8597e347621fdb76bd6dd4ed855ffeb6f132ef50880979fb2c4e23987818
- Size of remote file:
- 145 MB
- SHA256:
- 19598d876b2f27e83a566b357b334970ebce0f02bc3e9a3f0881233b5c80f99a
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