Instructions to use facebook/wav2vec2-base-de-voxpopuli-v2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use facebook/wav2vec2-base-de-voxpopuli-v2 with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="facebook/wav2vec2-base-de-voxpopuli-v2")# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("facebook/wav2vec2-base-de-voxpopuli-v2") model = AutoModelForPreTraining.from_pretrained("facebook/wav2vec2-base-de-voxpopuli-v2") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 8cdd003a159343436e59c2a77ad7a02e299947e326e1ebd33b995c6a8a9f894e
- Size of remote file:
- 380 MB
- SHA256:
- e54770ba411dce93de07fd87c1bf1bb5db8a6f92c2c92da66820201969d81b5c
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