Instructions to use kul-speech-lab/wav2vec2-xls-r-300m-lay21 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use kul-speech-lab/wav2vec2-xls-r-300m-lay21 with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("kul-speech-lab/wav2vec2-xls-r-300m-lay21") model = AutoModelForPreTraining.from_pretrained("kul-speech-lab/wav2vec2-xls-r-300m-lay21") - Notebooks
- Google Colab
- Kaggle
| This repository contains the [wav2vec2 XLS-R 300M](https://huggingface.co/facebook/wav2vec2-xls-r-300m) model truncated to 21 layers. | |
| See also: https://github.com/lcn-kul/xls-r-analysis-sqa | |