Instructions to use kul-speech-lab/wav2vec2-xls-r-1b-lay10 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-1b-lay10 with Transformers:
# Load model directly from transformers import AutoProcessor, AutoModelForPreTraining processor = AutoProcessor.from_pretrained("kul-speech-lab/wav2vec2-xls-r-1b-lay10") model = AutoModelForPreTraining.from_pretrained("kul-speech-lab/wav2vec2-xls-r-1b-lay10") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 33f614526b236ccbb18badbc1fcdbbaa9b2d118ecd51744bb6585f6d14724037
- Size of remote file:
- 938 MB
- SHA256:
- f0aaa88eae26d1c45262e36957d14b0dc6e411e795cdbb986dd06fdaf348b0b9
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