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")# pip install -U transformers accelerate # 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
Training in progress, step 69500
Browse files
pytorch_model.bin
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runs/Feb07_22-48-25_dante/events.out.tfevents.1644270591.dante.3603912.0
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