Instructions to use hawei-z/fish with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hawei-z/fish with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="hawei-z/fish")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("hawei-z/fish", dtype="auto") - Notebooks
- Google Colab
- Kaggle
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("hawei-z/fish", dtype="auto")Quick Links
Fish Speech V1.2
Fish Speech V1.2 is a leading text-to-speech (TTS) model trained on 300k hours of English, Chinese, and Japanese audio data.
Please refer to Fish Speech Github for more info.
Demo available at Fish Audio.
Citation
If you found this repository useful, please consider citing this work:
@misc{fish-speech-v1,
author = {Shijia Liao, Tianyu Li},
title = {Fish Speech V1},
year = {2024},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/fishaudio/fish-speech}}
}
License
This model is permissively licensed under the BY-CC-NC-SA-4.0 license. The source code is released under BSD-3-Clause license.
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# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="hawei-z/fish")