Instructions to use Matthijs/mms-tts-kor with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Matthijs/mms-tts-kor with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Matthijs/mms-tts-kor")# Load model directly from transformers import AutoTokenizer, AutoModelForTextToWaveform tokenizer = AutoTokenizer.from_pretrained("Matthijs/mms-tts-kor") model = AutoModelForTextToWaveform.from_pretrained("Matthijs/mms-tts-kor", device_map="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "add_blank": true, | |
| "clean_up_tokenization_spaces": true, | |
| "language": "kor", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<pad>", | |
| "phonemize": false, | |
| "tokenizer_class": "VitsTokenizer", | |
| "unk_token": "<unk>" | |
| } | |