Instructions to use utter-project/mHuBERT-147-base-2nd-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-2nd-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-2nd-iter")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModel processor = AutoProcessor.from_pretrained("utter-project/mHuBERT-147-base-2nd-iter") model = AutoModel.from_pretrained("utter-project/mHuBERT-147-base-2nd-iter", device_map="auto") - Inference
- Notebooks
- Google Colab
- Kaggle
Download pytorch_model.bin from utter-project/mHuBERT-147-base-2nd-iter: direct link, hf CLI and curl.
- Browser
- Download file 378 MB
-
https://huggingface.co/utter-project/mHuBERT-147-base-2nd-iter/resolve/main/pytorch_model.bin
- Command line
-
hf download hf://utter-project/mHuBERT-147-base-2nd-iter/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/utter-project/mHuBERT-147-base-2nd-iter/resolve/main/pytorch_model.bin
378 MB
- Xet hash:
- e2c8ee68cded3ef699e20001663ce24a96729a4d76b8ebb3dc92e6227fe2209b
- Size of remote file:
- 378 MB
- SHA256:
- 494d81514f4939155b14f07c4b600c0403f805ab0c3fdbd5284b531aa481d0ea
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