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")# 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
Download special_tokens_map.json from facebook/mms-tts-mon: direct link, hf CLI and curl.
- Browser
- Download file 47 Bytes
-
https://huggingface.co/facebook/mms-tts-mon/resolve/main/special_tokens_map.json
- Command line
-
hf download hf://facebook/mms-tts-mon/special_tokens_map.json
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curl -L -o special_tokens_map.json https://huggingface.co/facebook/mms-tts-mon/resolve/main/special_tokens_map.json
47 Bytes
| { | |
| "pad_token": "|", | |
| "unk_token": "<unk>" | |
| } | |