Instructions to use utter-project/mHuBERT-147-base-1st-iter with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use utter-project/mHuBERT-147-base-1st-iter with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="utter-project/mHuBERT-147-base-1st-iter")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("utter-project/mHuBERT-147-base-1st-iter") model = AutoModel.from_pretrained("utter-project/mHuBERT-147-base-1st-iter", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Download checkpoint_32_2000000.pt from utter-project/mHuBERT-147-base-1st-iter: direct link, hf CLI and curl.
- Browser
- Download file 1.14 GB
-
https://huggingface.co/utter-project/mHuBERT-147-base-1st-iter/resolve/main/checkpoint_32_2000000.pt
- Command line
-
hf download hf://utter-project/mHuBERT-147-base-1st-iter/checkpoint_32_2000000.pt
-
curl -L -o checkpoint_32_2000000.pt https://huggingface.co/utter-project/mHuBERT-147-base-1st-iter/resolve/main/checkpoint_32_2000000.pt
1.14 GB
- Xet hash:
- 42767b98f1be19d6f69900ca9a042485da21e3d4414cddb5f1e6cb843a17921c
- Size of remote file:
- 1.14 GB
- SHA256:
- 6da96f45ae23e14172aeb134e2256864b92b63b414f615f3a11e89a788b3d9c7
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