Instructions to use nguyenvulebinh/wav2vec2-base-vi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use nguyenvulebinh/wav2vec2-base-vi with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("nguyenvulebinh/wav2vec2-base-vi") model = AutoModelForPreTraining.from_pretrained("nguyenvulebinh/wav2vec2-base-vi", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 27d88e464d3e17c5ac3efd6455187a7f70ad6fdecc22ead5ef91747914df5059
- Size of remote file:
- 380 MB
- SHA256:
- b2db5daebfbee3d75953a4b26918dfadf35057e364305cf62cc1e75cec8722c8
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