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:
- 1979600704f2647f0108f51b6a029876a0e3f63a31d744f3741531bac1b4896a
- Size of remote file:
- 3.85 GB
- SHA256:
- 6a8812315d33e44bb3b0f3896fe7669ab1b54144cc4c0a3718148c972bd7853f
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