Instructions to use NbAiLab/XLSR-300M-bokmaal with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/XLSR-300M-bokmaal with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLab/XLSR-300M-bokmaal")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("NbAiLab/XLSR-300M-bokmaal") model = AutoModelForCTC.from_pretrained("NbAiLab/XLSR-300M-bokmaal", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7bc2b6d335c3f7128634775345ef9fb69807e28b8edf6cdac1f71f73797e90b1
- Size of remote file:
- 1.26 GB
- SHA256:
- 49914b5234938c51c1ec96f70b3beeb19aef7f90c70bad377fde308753735dc4
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