Text-to-Speech
Transformers
ONNX
speech-synthesis
multilingual
indic
orpheus
quantized
low-latency
zero-shot
emotions
discrete-audio-tokens
onnxruntime-genai
Instructions to use Prince-1/svara-tts-v1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Prince-1/svara-tts-v1 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="Prince-1/svara-tts-v1")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("Prince-1/svara-tts-v1", dtype="auto") - Notebooks
- Google Colab
- Kaggle
| { | |
| "backend": "tokenizers", | |
| "bos_token": "<|begin_of_text|>", | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "<|eot_id|>", | |
| "is_local": true, | |
| "local_files_only": false, | |
| "model_input_names": [ | |
| "input_ids", | |
| "attention_mask" | |
| ], | |
| "model_max_length": 131072, | |
| "pad_token": "<custom_token_7>", | |
| "padding_side": "right", | |
| "tokenizer_class": "TokenizersBackend" | |
| } | |