Instructions to use Isma/v2_181k_all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Isma/v2_181k_all with Transformers:
# Load model directly from transformers import AutoProcessor, Wav2Vec2ForPreTrainingWithMixupV2 processor = AutoProcessor.from_pretrained("Isma/v2_181k_all") model = Wav2Vec2ForPreTrainingWithMixupV2.from_pretrained("Isma/v2_181k_all") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 5adcd93666f8969e7e8e9bfcf7569f1273fa3708509f91aba1ec102b47df9076
- Size of remote file:
- 381 MB
- SHA256:
- dfc5ee8c3ab770e56d690aec59914c434ee3a6059bbbffeb179cda13823a1c75
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