Automatic Speech Recognition
Transformers
PyTorch
Safetensors
wav2vec2
NbAiLab/NST
Generated from Trainer
Instructions to use NbAiLab/wav2vec2-1b-nst with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/wav2vec2-1b-nst with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLab/wav2vec2-1b-nst")# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, AutoModelForCTC processor = AutoProcessor.from_pretrained("NbAiLab/wav2vec2-1b-nst") model = AutoModelForCTC.from_pretrained("NbAiLab/wav2vec2-1b-nst", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Add 5-gram lang model and eval code
e0cc13d
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Training in progress, step 500
0614925