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:
- f57f4d688b9aaf209bb5593f36fb0b0d1849fee8431fd40fe6358130ed58666a
- Size of remote file:
- 1.14 GB
- SHA256:
- 8d88f79300fbd3dec7b0cc8ded2e3535cf09479d198a230babac835f9c274ef8
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