Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
wav2vec2
Generated from Trainer
Instructions to use NbAiLab/XLSR-1B-bokmaal-low with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/XLSR-1B-bokmaal-low with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLab/XLSR-1B-bokmaal-low")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("NbAiLab/XLSR-1B-bokmaal-low") model = AutoModelForCTC.from_pretrained("NbAiLab/XLSR-1B-bokmaal-low", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 6b4a73903381afcb88f8daf512a322270a0ffc54b1dce51be13f90d4437cc286
- Size of remote file:
- 2.99 kB
- SHA256:
- b0b51878d1d389f53d907202478bad99d10120c4a9b3e17ba23aa3f9d5f6c1ff
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