Instructions to use hf-audio/xcodec-hubert-general with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use hf-audio/xcodec-hubert-general with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="hf-audio/xcodec-hubert-general")# Load model directly from transformers import AutoFeatureExtractor, AutoModel extractor = AutoFeatureExtractor.from_pretrained("hf-audio/xcodec-hubert-general") model = AutoModel.from_pretrained("hf-audio/xcodec-hubert-general", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9bdcaa854c3ba3bf41281faa198f3a9acb3c64a8e9ca7947af083ab3e36e040c
- Size of remote file:
- 710 MB
- SHA256:
- 00129f9945c23d70f209eb32201b7e66e3436b80219cb8d06d95edbc5f26ed43
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