Instructions to use bkh6722/bach-arb with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use bkh6722/bach-arb with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="bkh6722/bach-arb")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("bkh6722/bach-arb") model = AutoModelForCTC.from_pretrained("bkh6722/bach-arb", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1600
Browse files
pytorch_model.bin
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runs/May10_14-51-33_726f2b3fea59/1652194309.2299287/events.out.tfevents.1652194309.726f2b3fea59.21337.1
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training_args.bin
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