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", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download mhubert147_faiss.index from utter-project/mHuBERT-147: direct link, hf CLI and curl.
- Browser
- Download file 4.74 GB
-
https://huggingface.co/utter-project/mHuBERT-147/resolve/main/mhubert147_faiss.index
- Command line
-
hf download hf://utter-project/mHuBERT-147/mhubert147_faiss.index
-
curl -L -o mhubert147_faiss.index https://huggingface.co/utter-project/mHuBERT-147/resolve/main/mhubert147_faiss.index
4.74 GB
- Xet hash:
- bf011695803ab4f4f7c4fb2f0e301c97978f60cb598aa1648fc3d693bdf7dcb2
- Size of remote file:
- 4.74 GB
- SHA256:
- c362e5b3d94a1210a4776a5eb91b7389deef60ab5d0789a1502d96df61816f9a
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