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") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- e00d266ae65401c939c46f0f5aab18c33d0fd73cca2d4b4f212f19a244343a98
- Size of remote file:
- 3.06 kB
- SHA256:
- 6d0817d15b05c5cd102fc960d3e2e85f16fe15073a88afc5dbcbb337d7c34db1
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