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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Adding `safetensors` variant of this model (#2)
Verified signature- Adding `safetensors` variant of this model (eb5badc4d05429e2562ac5b798650855e5ace126) Co-authored-by: Safetensors convertbot <SFconvertbot@users.noreply.huggingface.co>ee17c9f
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Librarian Bot: Add base_model information to model (#1)
- Librarian Bot: Add base_model information to model (6ea03e73c8ca075eac552f9e419b6252b0934846) Co-authored-by: Librarian Bot (Bot) <librarian-bot@users.noreply.huggingface.co>1eba94e
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