Instructions to use utter-project/mHuBERT-147 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use utter-project/mHuBERT-147 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="utter-project/mHuBERT-147")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("utter-project/mHuBERT-147") model = AutoModel.from_pretrained("utter-project/mHuBERT-147") - Inference
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b0e160d6a333f5454740011fb5b7de1b781dd338d256400aef8b547988c6a94a
- Size of remote file:
- 87.5 MB
- SHA256:
- 2253dd1a6ed0a50c2812e7d8a22d38fea1f30f9798441013feef14a404cfd42f
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