Instructions to use GENG/hubert_5000_checkpoint_ls with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GENG/hubert_5000_checkpoint_ls with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="GENG/hubert_5000_checkpoint_ls")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("GENG/hubert_5000_checkpoint_ls") model = AutoModelForCTC.from_pretrained("GENG/hubert_5000_checkpoint_ls", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Upload scheduler.pt
Browse files- scheduler.pt +3 -0
scheduler.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:ad05380f36fcdad7d0489004cb970c3403e0c6f4d64ccddede393f8ca4940101
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size 623
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