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AI 모델 535

• faster-whisper-large-v3-turbo↗

  aTrain-core

• whisper-tiny↗

  mlx-community

  Converted using https://github.com/ml-explore/mlx-examples/tree/main/whisper with the command:

• whisper-mic↗

  huggingface-mic

• distil-large-v3.5↗

  distil-whisper

  Distil-Whisper is the knowledge-distilled version of OpenAI's Whisper-Large-v3, described in the paper Robust Knowledge Distillation via Large-Scale Pseudo Labelling. As the newest addition to the Distil-Whisper English family, Distil-Large-v3.5 maintains the high efficiency of its predecessors while delivering better performance. Compared to earlier models, Distil-Large-v3.5 has been trained on over 4× more diverse public data (98k hours) and uses a "patient" teacher with an extended training schedule and aggressive data augmentation (SpecAugment) during distillation. This results in enhanced robustness and accuracy compared to previous Distil-Whisper models, making it suitable as a drop-in replacement. 1. It offers a different balance between accuracy and efficiency, remains **~1.5x faster** than Whisper-Large-v3-Turbo while performing slightly better on short-form transcription and falling ~1% behind on long-form transcription. 2. It works perfectly as a draft model for **speculative decoding** with Whisper-Large-v3. By keeping the encoder frozen during training, we need to load just two extra decoder layers and forward the encoder only once. This achieves ~2x faster inference compared to Whisper-Large-v3 while maintaining identical outputs.

• whisper-base↗

  unsloth

• whisper-large-v3-pt-cv19-fleurs↗

  fsicoli

• whisper-base-mlx↗

  mlx-community

• whisper-small_timestamped↗

  onnx-community

  https://huggingface.co/openai/whisper-small with ONNX weights to be compatible with Transformers.js. Note: Having a separate repo for ONNX weights is intended to be a temporary solution until WebML gains more traction. If you would like to make your models web-ready, we recommend converting to ONNX using 🤗 Optimum and structuring your repo like this one (with ONNX weights located in a subfolder named `onnx`).

• whisper-small↗

  OpenASR

• openai_whisper-large-v3-turbo-NVFP4↗

  Reza2kn