Instructions to use facebook/wav2vec2-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/wav2vec2-large with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("facebook/wav2vec2-large") model = AutoModelForPreTraining.from_pretrained("facebook/wav2vec2-large") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d80c726f1daf442173945532f0b12716890664db863b7a50302249f03dd93427
- Size of remote file:
- 1.27 GB
- SHA256:
- 6502e658c56f241a4f2baf9e6ea44821fa01828a54677b4a1106702d5b084d1c
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