Instructions to use whispy/whisper_it_10perc with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use whispy/whisper_it_10perc with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="whispy/whisper_it_10perc")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("whispy/whisper_it_10perc") model = AutoModelForSpeechSeq2Seq.from_pretrained("whispy/whisper_it_10perc") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files
runs/Dec02_16-22-05_5f7ae0d9bd4f/events.out.tfevents.1669998243.5f7ae0d9bd4f.73.7
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