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AI Models 535

• biodatlab-whisper-th-medium-faster↗

  Vinxscribe

• moonshine-base↗

  moonshine-ai

  This is the model card for running the automatic speech recognition (ASR) models (Moonshine models) trained and released by Useful Sensors. Following Model Cards for Model Reporting (Mitchell et al.), we're providing some information about the automatic speech recognition model. More information on how these models were trained and evaluated can be found in the paper. Note, a lot of the text has been copied verbatim from the model card for the Whisper model developed by OpenAI, because both models serve identical purposes, and carry identical risks. Moonshine is supported in Hugging Face 🤗 Transformers. To run the model, first install the Transformers library. For this example, we'll also install 🤗 Datasets to load toy audio dataset from the Hugging Face Hub, and 🤗 Accelerate to reduce the model loading time:

• kotoba-whisper-v1.1↗

  kotoba-tech

• kyrgyz-whisper-small↗

  nineninesix

• whisper-small-mlx-4bit↗

  mlx-community

• whisper-large-v3-turbo-ar-quran↗

  naazimsnh02

  Fine-tuned Whisper Large V3 Turbo model for high-accuracy Arabic Quranic speech recognition. This model is a fine-tuned version of openai/whisper-large-v3-turbo trained on the tarteel-ai/everyayah dataset. The model was evaluated on the **full test split** of the EveryAyah dataset, comprising **23,473 samples**.

• whisper-small-nigerian-pidgin↗

  ocansey

• whisper-hindi-small↗

  vasista22

• whisper-medium-GGUF↗

  OllmOne

• faster-whisper-tiny↗

  Systran

  This repository contains the conversion of openai/whisper-tiny 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.