Instructions to use GENG/hubert_ls_4500 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GENG/hubert_ls_4500 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="GENG/hubert_ls_4500")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("GENG/hubert_ls_4500") model = AutoModelForCTC.from_pretrained("GENG/hubert_ls_4500", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload optimizer.pt
Browse files- optimizer.pt +3 -0
optimizer.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:39d66044d4cd1ad6322223735fa244dbe31ff952df92fcf4cb7126e537aa2b47
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size 721746705
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