Instructions to use Isma/v2_100k_all with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Isma/v2_100k_all with Transformers:
# Load model directly from transformers import AutoProcessor, Wav2Vec2ForPreTrainingWithMixupV2 processor = AutoProcessor.from_pretrained("Isma/v2_100k_all") model = Wav2Vec2ForPreTrainingWithMixupV2.from_pretrained("Isma/v2_100k_all") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
20cede8 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:d8c74e00be9bd45e396021be69c45552f892d7676552c95ea64ca8ce8edbd509
size 380512629
|