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
- Xet hash:
- eccca0aaf74d0242d24fa1e4e9588727d804bc784cc7fac36955d2db991fe526
- Size of remote file:
- 1.16 GB
- SHA256:
- fc1ecc04d568d05ad0c2db72a0109a82c9af81857436c8e1a97988299d5d32c6
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