Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
wav2vec2
NbAiLab/NPSC
Generated from Trainer
Instructions to use NbAiLab/xls-npsc-oh with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/xls-npsc-oh with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLab/xls-npsc-oh")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("NbAiLab/xls-npsc-oh") model = AutoModelForCTC.from_pretrained("NbAiLab/xls-npsc-oh", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- cb7db809b4b0e7960e5fc60727edef32ceec3826402c7ecbb455192f4ffab808
- Size of remote file:
- 1.26 GB
- SHA256:
- e0bb6f93e9d8b335cbc2ce6b3981f13f2061d7f1378d897fa37f285780bc6f80
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