Instructions to use MBMMurad/wav2vec2_spec_aug with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MBMMurad/wav2vec2_spec_aug with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="MBMMurad/wav2vec2_spec_aug")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("MBMMurad/wav2vec2_spec_aug") model = AutoModelForCTC.from_pretrained("MBMMurad/wav2vec2_spec_aug", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Training in progress, step 1600
Browse files
pytorch_model.bin
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runs/Aug22_02-54-40_0c9dbeff297a/events.out.tfevents.1661138124.0c9dbeff297a.23.0
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