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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- f4b74e31e6387bfb1fdf377f95ac7266ede8bc7ed2361fd3e323ea5ca2296f52
- Size of remote file:
- 1.27 GB
- SHA256:
- c0455bda4e815ef49ee78fbcbd0903f603b81f16fc73438136de33b35cc3ebda
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