Text-to-Speech
Transformers
Safetensors
Japanese
speecht5
text-to-audio
jvs
pyopenjtalk
speech-to-text
Instructions to use esnya/japanese_speecht5_tts with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use esnya/japanese_speecht5_tts with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="esnya/japanese_speecht5_tts")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForTextToSpectrogram processor = AutoProcessor.from_pretrained("esnya/japanese_speecht5_tts") model = AutoModelForTextToSpectrogram.from_pretrained("esnya/japanese_speecht5_tts", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download tokenizer_config.json from esnya/japanese_speecht5_tts: direct link, hf CLI and curl.
- Browser
- Download file 309 Bytes
-
https://huggingface.co/esnya/japanese_speecht5_tts/resolve/f45a1cf58f9be27e4a0c6269a532bccb8e23e1db/tokenizer_config.json
- Command line
-
hf download hf://esnya/japanese_speecht5_tts@f45a1cf58f9be27e4a0c6269a532bccb8e23e1db/tokenizer_config.json
-
curl -L -o tokenizer_config.json https://huggingface.co/esnya/japanese_speecht5_tts/resolve/f45a1cf58f9be27e4a0c6269a532bccb8e23e1db/tokenizer_config.json
309 Bytes
| { | |
| "bos_token": "<s>", | |
| "clean_up_tokenization_spaces": true, | |
| "eos_token": "</s>", | |
| "model_max_length": 1000000000000000019884624838656, | |
| "pad_token": "<pad>", | |
| "processor_class": "SpeechT5Processor", | |
| "sp_model_kwargs": {}, | |
| "tokenizer_class": "SpeechT5OpenjtalkTokenizer", | |
| "unk_token": "<unk>" | |
| } | |