Instructions to use utter-project/mHuBERT-147-base-1st-iter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use utter-project/mHuBERT-147-base-1st-iter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="utter-project/mHuBERT-147-base-1st-iter")# Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("utter-project/mHuBERT-147-base-1st-iter") model = AutoModel.from_pretrained("utter-project/mHuBERT-147-base-1st-iter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 01f782a09ac9c8be5e9e3cd194bfd5661aa7017804037298dc52d252b48474f3
- Size of remote file:
- 378 MB
- SHA256:
- 964e035fe0ba372edec73fde0b6051363544c3a05fdf291afadc47c99f63ddcb
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