Instructions to use AXERA-TECH/CosyVoice3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AXERA-TECH/CosyVoice3 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="AXERA-TECH/CosyVoice3")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AXERA-TECH/CosyVoice3", dtype="auto") - Notebooks
- Google Colab
- Kaggle
lihongjie commited on
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Parent(s): ca08716
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README.md
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@@ -35,8 +35,8 @@ For those who are interested in model conversion, you can try to export axmodel
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| Stage | Time |
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| llm prefill ( input_token_num + prompt_token_num 在 [0,128 ] ) | 104 ms |
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| llm prefill ( input_token_num + prompt_token_num 在 [128,256 ] ) |
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| Decode |
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## How to use
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| Stage | Time |
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| llm prefill ( input_token_num + prompt_token_num 在 [0,128 ] ) | 104 ms |
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| llm prefill ( input_token_num + prompt_token_num 在 [128,256 ] ) | 160 ms |
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| Decode | 14 token/s |
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## How to use
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