Instructions to use LBR47/whisper-tiny with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use LBR47/whisper-tiny with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="LBR47/whisper-tiny")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("LBR47/whisper-tiny") model = AutoModelForSpeechSeq2Seq.from_pretrained("LBR47/whisper-tiny") - Notebooks
- Google Colab
- Kaggle
Upload events.out.tfevents.1691334855.autodl-container-f1da119ffa-2d209b9d.1079.3
Browse files
unit5_highest/events.out.tfevents.1691334855.autodl-container-f1da119ffa-2d209b9d.1079.3
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