Instructions to use Alvenir/wav2vec2-base-da with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Alvenir/wav2vec2-base-da with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("Alvenir/wav2vec2-base-da") model = AutoModelForPreTraining.from_pretrained("Alvenir/wav2vec2-base-da", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7e2811f55c5e53faaccf6ef65e246f34a1caddcc73a3bc8c536c2079a868fbb6
- Size of remote file:
- 380 MB
- SHA256:
- 5e96396a9020000f445b72d6cf84a2332e5c7176cc6618595001028ad32d8104
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