Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
wav2vec2
Eval Results (legacy)
Instructions to use NbAiLab/XLSR-300M-nynorsk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/XLSR-300M-nynorsk with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLab/XLSR-300M-nynorsk")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("NbAiLab/XLSR-300M-nynorsk") model = AutoModelForCTC.from_pretrained("NbAiLab/XLSR-300M-nynorsk", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- d5517ac53fde93dbdb0e0155970c824a69630445b06bcfb193d692d908acbed6
- Size of remote file:
- 1.26 GB
- SHA256:
- 54821aef29554c31618b9a5b805529299aea5a950ae7730c0dd3a26705dc3f81
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