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AI Models 535

• whisper-medium-ml↗

  thennal

• whisper-large-v3-turbo-german-f16↗

  mlx-community

• tiny-random-whisper↗

  optimum-internal-testing

  This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated. Users (both direct and downstream) should be made aware of the risks, biases and limitations of the model. More information needed for further recommendations. Carbon emissions can be estimated using the Machine Learning Impact calculator presented in Lacoste et al. (2019).

• whisper-he-ipa↗

  renikud

• kotoba-whisper-v2.2-ONNX↗

  onnx-community

• whisper-large-v3-turbo-ct2↗

  ivrit-ai

  This is ivrit.ai's faster-whisper model, based on the ivrit-ai/whisper-large-v3-turbo Whisper model. Training data includes 295 hours of volunteer-transcribed speech from the ivrit-ai/crowd-transcribe-v5 dataset, as well as 93 hours of professional transcribed speech from other sources.

• whisper-persian-v4↗

  nezamisafa

• MiniCPM-o-4_5-awq↗

  openbmb

  A Gemini 2.5 Flash Level MLLM for Vision, Speech, and Full-Duplex Mulitmodal Live Streaming on Your Phone > [!NOTE] > [2026.02.06] 🥳 🥳 🥳 We open-sourced a realtime web demo deployable on your own devices like Mac or GPU. Try it now! **MiniCPM-o 4.5** is the latest and most capable model in the MiniCPM-o series. The model is built in an end-to-end fashion based on SigLip2, Whisper-medium, CosyVoice2, and Qwen3-8B with a total of 9B parameters. It exhibits a significant performance improvement, and introduces new features for full-duplex multimodal live streaming. Notable features of MiniCPM-o 4.5 include:

• whisper-large-v3-turbo-latam↗

  marianbasti

• whisper-small-sinhala↗

  Lingalingeswaran