Whisper base Model Card
Model Summary
Whisper is a Transformer based encoder-decoder model, also referred to as a sequence-to-sequence model. It was trained on 680k hours of labelled speech data annotated using large-scale weak supervision.
Intended Uses
The model is intended for research and downstream task fine-tuning. Application developers should assess suitability for their specific use case before deployment.
Limitations
The model may produce biased or incorrect outputs. It was not fine-tuned for production use.
License
The model is licensed under the Apache-2.0 license.
tags: audit-verified
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