Instructions to use AXERA-TECH/VoxCPM with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use AXERA-TECH/VoxCPM with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-to-speech", model="AXERA-TECH/VoxCPM")# Load model directly from transformers import AutoModel model = AutoModel.from_pretrained("AXERA-TECH/VoxCPM", dtype="auto") - Notebooks
- Google Colab
- Kaggle
lihongjie commited on
Commit ·
bc66391
1
Parent(s): 08f99bf
update
Browse files- run_ax650.py +1 -1
run_ax650.py
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@@ -3,7 +3,7 @@ import numpy as np
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import time
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import os
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os.environ['AX_INFER'] = "True"
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os.environ["AXMODEL_DIR"] = ".
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from voxcpm import VoxCPM
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import time
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import os
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os.environ['AX_INFER'] = "True"
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os.environ["AXMODEL_DIR"] = "./"
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from voxcpm import VoxCPM
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