Instructions to use AXERA-TECH/CosyVoice2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AXERA-TECH/CosyVoice2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="AXERA-TECH/CosyVoice2")# pip install -U transformers accelerate # Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AXERA-TECH/CosyVoice2", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download token2wav-axmodels/flow.input_embedding.float16.bin from AXERA-TECH/CosyVoice2: direct link, hf CLI and curl.
- Browser
- Download file 6.72 MB
-
https://huggingface.co/AXERA-TECH/CosyVoice2/resolve/main/token2wav-axmodels/flow.input_embedding.float16.bin
- Command line
-
hf download hf://AXERA-TECH/CosyVoice2/token2wav-axmodels/flow.input_embedding.float16.bin
-
curl -L -o flow.input_embedding.float16.bin https://huggingface.co/AXERA-TECH/CosyVoice2/resolve/main/token2wav-axmodels/flow.input_embedding.float16.bin
6.72 MB
- Xet hash:
- 1e0fa1b6107ac22b5477e08be9fa3986f57e1c2282bb932d3190f3f5f0d56dd9
- Size of remote file:
- 6.72 MB
- SHA256:
- 195ee988f6b8e0f256a897b4ae3a6acfe2b2799baa9dad79a651e009393f52b1
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