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
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# Table of Contents:
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1. [Summary](https://huggingface.co/utter-project/mHuBERT-147#mhubert-147-models)
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2. [Training Data and Code](https://huggingface.co/utter-project/mHuBERT-147#
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3. [ML-SUPERB Scores]()
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4. [Languages and Datasets](https://huggingface.co/utter-project/mHuBERT-147#
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5. [Citing and Funding Information](https://huggingface.co/utter-project/mHuBERT-147#
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# mHuBERT-147 models
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# Table of Contents:
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1. [Summary](https://huggingface.co/utter-project/mHuBERT-147#mhubert-147-models)
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2. [Training Data and Code](https://huggingface.co/utter-project/mHuBERT-147#training)
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3. [ML-SUPERB Scores](https://huggingface.co/utter-project/mHuBERT-147#ml-superb-scores)
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4. [Languages and Datasets](https://huggingface.co/utter-project/mHuBERT-147#languages-and-datasets)
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5. [Citing and Funding Information](https://huggingface.co/utter-project/mHuBERT-147#citing-and-funding-information)
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# mHuBERT-147 models
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