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