Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
Safetensors
whisper
whisper-event
Generated from Trainer
Eval Results (legacy)
Instructions to use NbAiLab/whisper-tiny-nob with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use NbAiLab/whisper-tiny-nob with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="NbAiLab/whisper-tiny-nob")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("NbAiLab/whisper-tiny-nob") model = AutoModelForSpeechSeq2Seq.from_pretrained("NbAiLab/whisper-tiny-nob") - Notebooks
- Google Colab
- Kaggle
Model save
Browse files
pytorch_model.bin
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runs/Dec30_05-50-47_ficino/events.out.tfevents.1672375864.ficino.2745717.0
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