Instructions to use facebook/wav2vec2-large-lv60 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/wav2vec2-large-lv60 with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("facebook/wav2vec2-large-lv60") model = AutoModelForPreTraining.from_pretrained("facebook/wav2vec2-large-lv60", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 81f3ea6ba3dd2f5cfdda7ef6d88d6a317204d52fe1dcd820f44f8d002177c3a1
- Size of remote file:
- 1.27 GB
- SHA256:
- 1d095321ee151b9cbeeb2f325d104bf1813b795c9bbbee58efcde34f701d0386
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