Text-to-Speech
Transformers
Safetensors
omnivoice
tts
singing
emotion
expressive-tts
multilingual
voice-cloning
Instructions to use ModelsLab/omnivoice-singing with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use ModelsLab/omnivoice-singing with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="ModelsLab/omnivoice-singing")# Load model directly from transformers import OmniVoice model = OmniVoice.from_pretrained("ModelsLab/omnivoice-singing", dtype="auto") - Notebooks
- Google Colab
- Kaggle
File size: 533 Bytes
2c17b79 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 | {
"add_prefix_space": false,
"backend": "tokenizers",
"bos_token": null,
"clean_up_tokenization_spaces": false,
"eos_token": "<|im_end|>",
"errors": "replace",
"extra_special_tokens": [
"<|denoise|>",
"<|lang_start|>",
"<|lang_end|>",
"<|instruct_start|>",
"<|instruct_end|>",
"<|text_start|>",
"<|text_end|>"
],
"is_local": true,
"model_max_length": 131072,
"pad_token": "<|endoftext|>",
"split_special_tokens": false,
"tokenizer_class": "Qwen2Tokenizer",
"unk_token": null
}
|