Instructions to use burkimbia/wav2vec-mos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use burkimbia/wav2vec-mos with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="burkimbia/wav2vec-mos")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("burkimbia/wav2vec-mos") model = AutoModelForCTC.from_pretrained("burkimbia/wav2vec-mos", device_map="auto") - Notebooks
- Google Colab
- Kaggle
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