Instructions to use MU-NLPC/whisper-small-audio-captioning with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use MU-NLPC/whisper-small-audio-captioning with Transformers:
# Load model directly from transformers import AutoProcessor, WhisperForAudioCaptioning processor = AutoProcessor.from_pretrained("MU-NLPC/whisper-small-audio-captioning") model = WhisperForAudioCaptioning.from_pretrained("MU-NLPC/whisper-small-audio-captioning") - Notebooks
- Google Colab
- Kaggle
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- AudioCaps
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- name: whisper-small-audio-captioning
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- AudioCaps
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- Clotho-v2.1
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- SPICE
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- CIDEr
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model-index:
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- name: whisper-small-audio-captioning
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