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AI Models 535

• whispernow-qwen3.5-4b-GGUF↗

  mradermacher

• whisper-medium↗

  OpenAI

  Whisper is a pre-trained model for automatic speech recognition (ASR) and speech translation. Trained on 680k hours of labelled data, Whisper models demonstrate a strong ability to generalise to many datasets and domains **without** the need for fine-tuning. Whisper was proposed in the paper Robust Speech Recognition via Large-Scale Weak Supervision by Alec Radford et al from OpenAI. The original code repository can be found here. **Disclaimer**: Content for this model card has partly been written by the Hugging Face team, and parts of it were copied and pasted from the original model card.

• faster-whisper-large-v3↗

  Systran

  This repository contains the conversion of openai/whisper-large-v3 to the CTranslate2 model format. This model can be used in CTranslate2 or projects based on CTranslate2 such as faster-whisper. Note that the model weights are saved in FP16. This type can be changed when the model is loaded using the `compute_type` option in CTranslate2.

• distill-whisper-th-large-v3-ct2↗

  pariya47

• whisper-large-v3-turbo-armenian↗

  Chillarmo

• tiny_WhisperForConditionalGeneration-lora↗

  peft-internal-testing

• whisper-tiny.en-mlx↗

  mlx-community

• faster-whisper-base↗

  guillaumekln

  Note that the model weights are saved in FP16. This type can be changed when the model is loaded using the `compute_type` option in CTranslate2.

• whisper-th-small-combined↗

  biodatlab

• faster-whisper-large-v3-turbo-ct2↗

  deepdml

  This repository contains the conversion of deepdml/whisper-large-v3-turbo to the CTranslate2 model format. This model can be used in CTranslate2 or projects based on CTranslate2 such as faster-whisper. Note that the model weights are saved in FP16. This type can be changed when the model is loaded using the `compute_type` option in CTranslate2.