Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
wav2vec2
NbAiLab/NPSC
Generated from Trainer
Instructions to use NbAiLab/xls-npsc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/xls-npsc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLab/xls-npsc")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("NbAiLab/xls-npsc") model = AutoModelForCTC.from_pretrained("NbAiLab/xls-npsc") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 3a50ec6799cb4f055fbf3c07940cf4d9ede1f9e46647ac5e8aad0ee4fac12151
- Size of remote file:
- 1.26 GB
- SHA256:
- 55429e58f4eb26fda2b961b91a4dd01fb47f8aa7726aebde52b93d4d8d08f34a
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