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AI 模型 535

• s2s-timing16-fresh-hf3-001↗

  claudemama

  Text-free S2S timing recovery

• whisper-base-ser-dusha↗

  waveletdeboshir

  Model was fine-tuned on full Dusha-crowd with * augmentations Time Shift, Time Masking and Colored Noise; * WeightedRandomSampler.

• distil-whisper-large-v3↗

  mlx-community

• whisper-large-v3-gguf↗

  handy-computer

  GGUF conversions of openai/whisper-large-v3 for use with transcribe.cpp. Ported from upstream commit 06f233f, pinned 2026-04-25. Validated against the transformers reference at transcribe.cpp commit 0a26478 on 2026-09-13. OpenAI Whisper large-v3 — converted to GGUF for transcribe.cpp. Multilingual transcription, language detection, and speech translation (audio in any supported language → English text). v3 family adds Cantonese (yue) and uses a 128-bin mel input. Encoder-decoder transformer; 30-second windows with chunked long-form decoding.

• whisper-tiny↗

  Xenova

  https://huggingface.co/openai/whisper-tiny with ONNX weights to be compatible with Transformers.js. If you haven't already, you can install the Transformers.js JavaScript library from NPM using: 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`).

• faster-whisper-small↗

  guillaumekln

• lite-whisper-large-v3-turbo↗

  efficient-speech

• tiny-random-WhisperForConditionalGeneration-ONNX_external↗

  onnx-internal-testing

• faster-whisper-medium↗

  guillaumekln

• tiny-random-whisper↗

  nikita-savelyev-intel