Instructions to use GroNLP/wav2vec2-dutch-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use GroNLP/wav2vec2-dutch-base with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("GroNLP/wav2vec2-dutch-base") model = AutoModelForPreTraining.from_pretrained("GroNLP/wav2vec2-dutch-base") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 4c8ac095335087f319e34a86faf7415e0e4401ac763f0cbf486c3e0795f751bb
- Size of remote file:
- 380 MB
- SHA256:
- 0c9cb8ac95ff84fc25bac21ab0829ab9f763572d956d3dcbd0df7fa391c362a4
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