Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
wav2vec2
NbAiLab/NPSC
Generated from Trainer
robust-speech-event
Instructions to use NbAiLab/wav2vec2-large-voxrex-npsc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/wav2vec2-large-voxrex-npsc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLab/wav2vec2-large-voxrex-npsc")# Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("NbAiLab/wav2vec2-large-voxrex-npsc") model = AutoModelForCTC.from_pretrained("NbAiLab/wav2vec2-large-voxrex-npsc", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 9b9f943216231e41bf194b0196812bc612a35a485ceb5bbfe96cb8c63652e532
- Size of remote file:
- 1.26 GB
- SHA256:
- 5fa7556ce573176043cb606b94e76e77b1a12724eeef8fce2490d18f566d9953
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