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
Adding `safetensors` variant of this model (#2)
Browse files- Adding `safetensors` variant of this model (c64fc81c3a6749d52aa4122c95c6bee2522646d1)
Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>
- model.safetensors +3 -0
model.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:2359b3e9dc6869cb0855119a2866f056aeb400e46252da9cbcc8e9b7aee50c8b
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size 377510584
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