Automatic Speech Recognition
Transformers
PyTorch
TensorBoard
whisper
Generated from Trainer
Eval Results (legacy)
Instructions to use timjwhite/whisper-tiny-dv with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use timjwhite/whisper-tiny-dv with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="timjwhite/whisper-tiny-dv")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("timjwhite/whisper-tiny-dv") model = AutoModelForSpeechSeq2Seq.from_pretrained("timjwhite/whisper-tiny-dv") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
runs/Aug05_23-03-38_ebda55537af0/events.out.tfevents.1691276679.ebda55537af0.1041.0
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