Instructions to use Isma/v2_161k_all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Isma/v2_161k_all with Transformers:
# Load model directly from transformers import AutoProcessor, Wav2Vec2ForPreTrainingWithMixupV2 processor = AutoProcessor.from_pretrained("Isma/v2_161k_all") model = Wav2Vec2ForPreTrainingWithMixupV2.from_pretrained("Isma/v2_161k_all") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9ef62e786ed1ed9aa8aaa0b3d501f41f3806dd8ef8f7b360f684d04b3e802aa4
- Size of remote file:
- 381 MB
- SHA256:
- 6f9cc270698eab448fa3d67aec2a689110e79771aab063c23ab83ace1253d838
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