Instructions to use pruna-test/whisper-v3-tiny-random with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use pruna-test/whisper-v3-tiny-random with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("automatic-speech-recognition", model="pruna-test/whisper-v3-tiny-random")# Load model directly from transformers import AutoProcessor, AutoModelForSpeechSeq2Seq processor = AutoProcessor.from_pretrained("pruna-test/whisper-v3-tiny-random") model = AutoModelForSpeechSeq2Seq.from_pretrained("pruna-test/whisper-v3-tiny-random") - Notebooks
- Google Colab
- Kaggle
This model is a smaller, randomly initialized version of openai/whisper-large-v3. It's intended use is for debugging, for fast testing or for use in CI/CD pipelines.
This model was taken from this repository and updated / maintained to work with newer transformers versions.
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