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
Fix YAML language metadata issue for Norwegian (no)
#16
by NewComer00 - opened
README.md
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@@ -79,7 +79,7 @@ language:
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@@ -214,4 +214,4 @@ This is an output of the European Project UTTER (Unified Transcription and Trans
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For more information please visit https://he-utter.eu/
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NAVER LABS Europe: https://europe.naverlabs.com/
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- 'no'
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For more information please visit https://he-utter.eu/
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NAVER LABS Europe: https://europe.naverlabs.com/
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