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:
- c6bfe1d362777b8b1d611bd851c013b14e8827326990e8e0f0bfc786ab50a4d6
- Size of remote file:
- 378 MB
- SHA256:
- 9f2a500d9ff74a801608c732cf30b2d97863df366d9b659a28b39eb2caf2b10a
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