Instructions to use facebook/mms-tts-mon with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/mms-tts-mon with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="facebook/mms-tts-mon")# pip install -U transformers accelerate # Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("facebook/mms-tts-mon") model = AutoModelForTextToWaveform.from_pretrained("facebook/mms-tts-mon", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Fix vocab.json: rename ѳ/щ to ө/ш (U+04E9, U+0448)
#2
by nugjii - opened
vocab.json uses archaic ѳ (U+0473 FITA) and щ (U+0449 SHCHA) where modern Mongolian uses ө (U+04E9 BARRED O) and ш (U+0448 SHA). VitsTokenizer filters unmatched characters silently, so both letters are deleted from input. Renames the two keys, keeping vocab size at 64. No weight change.