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:
- e64dfccefa08392358459b9c4f1f5d351a9f4f2c45224c43409089cfc684adf9
- Size of remote file:
- 4.24 GB
- SHA256:
- 7b41c24c63f2f0585bea83666369593f3b3e6d047f327a90f36ebca2c35ef0ff
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