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Improve model card with abstract and sample usage
Verified signatureThis PR enhances the model card for `lite-whisper-tiny` by adding a detailed abstract from the paper "LiteASR: Efficient Automatic Speech Recognition with Low-Rank Approximation." This provides a more comprehensive overview of the model's methodology and benefits. Furthermore, it incorporates a "Quick Start" section with a Python code snippet, directly sourced from the official GitHub repository. This sample usage demonstrates how to load and use the model with the `transformers` library, making it significantly easier for users to get started. The model name in the sample code has been adjusted to `efficient-speech/lite-whisper-tiny` to match the specific model this card describes.24089af
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Update README.md
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Update README.md
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Upload LiteWhisperForConditionalGeneration
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initial commit
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