Instructions to use MU-NLPC/whisper-tiny-audio-captioning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MU-NLPC/whisper-tiny-audio-captioning with Transformers:
# pip install -U transformers accelerate # Load model directly from transformers import AutoProcessor, WhisperForAudioCaptioning processor = AutoProcessor.from_pretrained("MU-NLPC/whisper-tiny-audio-captioning") model = WhisperForAudioCaptioning.from_pretrained("MU-NLPC/whisper-tiny-audio-captioning", device_map="auto") - Notebooks
- Google Colab
- Kaggle
Commit History
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Adding `safetensors` variant of this model
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