Instructions to use vasista22/ccc-wav2vec2-base-SUPERB with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use vasista22/ccc-wav2vec2-base-SUPERB with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("vasista22/ccc-wav2vec2-base-SUPERB") model = AutoModelForPreTraining.from_pretrained("vasista22/ccc-wav2vec2-base-SUPERB") - Notebooks
- Google Colab
- Kaggle
File size: 134 Bytes
6e0ce56 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:a6fc8f5386a70ed864b4cb088cefd2e02f89a66147a5f2fc6f355fbadf794072
size 380248589
|