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
Quote 'no' for Norwegian in metadata to avoid yaml's "The Norway Problem".
Hello there!
I was trying to convert this model to ONNX using the onnx-community workflow:
https://huggingface.co/spaces/onnx-community/convert-to-onnx
Conversion worked fine, but the upload failed with:
TypeError: language[78] must be str
Looks like the classic YAML “Norway problem” — no getting parsed as a boolean instead of a string.
It seems Hugging Face’s metadata generator already handles this properly now by quoting no, so this might already be fixable just by regenerating/updating the metadata. Feel free to merge this or just update the metadata🙂
NewComer00 changed pull request title from Update README.md to Fix YAML language metadata issue for Norwegian (no)