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:
- 1396b95d56f24aed32849b816ee2c93efb86390abf783221a48a2136a24e64e2
- Size of remote file:
- 3.06 kB
- SHA256:
- ec10d011e8385727a860c005d05b5e99d5638957ba45410cee736f1af960bb2e
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