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@jonathanxu81205 - add assets from twitter bot #186

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@jonathanxu81205 - add assets from twitter bot #186

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21 changes: 21 additions & 0 deletions assets/singapore.yaml
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Expand Up @@ -47,3 +47,24 @@
prohibited_uses: ''
monitoring: unknown
feedback: https://huggingface.co/OrionZheng/openmoe-base/discussions
- type: model
name: Whisper Medusa
organization: Aiola
description: Whisper Medusa is an advanced encoder-decoder model for speech transcription and translation, which processes audio through encoding and decoding stages. It is built on a version of the Whisper model, with improvements for prediction speed. Optimization strategies such as Faster-Whisper and Speculative Decoding enhance Medusa's performance.
created_date: Unknown
url: https://huggingface.co/aiola/whisper-medusa-v1
model_card: https://huggingface.co/aiola/whisper-medusa-v1
modality: Audio; Text
analysis: The model was trained and evaluated on the LibriSpeech dataset, demonstrating improvements in speed.
size: Unknown
dependencies: [LibriSpeech dataset, Whisper Model]
training_emissions: Unknown
training_time: Unknown
training_hardware: Unknown
quality_control: The model was optimized and validated on English, and its performance has been enhanced by adopting different strategies such as Faster-Whisper and Speculative Decoding.
access: Unknown
license: Unknown
intended_uses: Whisper Medusa can be used for speech translation purposes, specifically for translating English audio.
prohibited_uses: It is not recommended to use the model for languages other than English as it has been optimized for English.
monitoring: Unknown
feedback: Any problems with the model should be reported by following the instructions provided in the Whisper Medusa repository README.
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