Instructions to use fav-kky/wav2vec2-base-de-50k with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use fav-kky/wav2vec2-base-de-50k with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("fav-kky/wav2vec2-base-de-50k") model = AutoModelForPreTraining.from_pretrained("fav-kky/wav2vec2-base-de-50k") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1aaf9ac415754d744e12ae1f39fb80357478837cd39c77fd7079406e98771adc
- Size of remote file:
- 380 MB
- SHA256:
- bd680a12cb8ea26552c2ab4ebc36520a2614095fb3a1249ef74c83677b4d596c
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