Instructions to use kul-speech-lab/wav2vec2-xls-r-300m-lay5 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-lay5 with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("kul-speech-lab/wav2vec2-xls-r-300m-lay5") model = AutoModelForPreTraining.from_pretrained("kul-speech-lab/wav2vec2-xls-r-300m-lay5") - Notebooks
- Google Colab
- Kaggle
Quick Links
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Check out the documentation for more information.
This repository contains the wav2vec2 XLS-R 300M model truncated to 5 layers.
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# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("kul-speech-lab/wav2vec2-xls-r-300m-lay5") model = AutoModelForPreTraining.from_pretrained("kul-speech-lab/wav2vec2-xls-r-300m-lay5")