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AdpatToAIera/oreero-whisper-sk
oreero-whisper-sk is a machine learning model from AdpatToAIera. Use it for the machine learning task on the model card, and read the license before you ship it in a product. It is set up for whisperkit. The card lists the license as mit.
Core ML conversions of two Slovak-fine-tuned Whisper models, packaged in the WhisperKit folder layout so iOS/macOS apps can download and run them fully on-device.
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From the Hugging Face model README
Core ML conversions of two Slovak-fine-tuned Whisper models, packaged in the WhisperKit folder layout so iOS/macOS apps can download and run them fully on-device.
| Folder | Base model | Architecture | Slovak WER (FLEURS / CommonVoice 21)* |
|---|---|---|---|
oreero_whisper-large-v3-turbo-sk | NaiveNeuron/whisper-large-v3-turbo-sk | large-v3-turbo (809M) | 6.4 % / 13.2 % |
oreero_whisper-large-v3-sk | NaiveNeuron/whisper-large-v3-sk | large-v3 (1.54B) | 5.5 % / 11.6 % |
* Numbers reported by the model authors (SloPal, arXiv:2509.19270). Both models are Slovak specialists — they trade other languages' quality for the best published Slovak accuracy.
Converted with whisperkittools
(whisperkit-generate-model), unmodified weights, default precision. Each
folder contains MelSpectrogram.mlmodelc, AudioEncoder.mlmodelc,
TextDecoder.mlmodelc.
All credit for the fine-tunes goes to NaiveNeuron and the SloPalSpeech project (2,806 h of Slovak parliamentary speech). Base Whisper by OpenAI. This repo only re-packages the weights for Core ML. License: MIT, same as the source models.
Published for Oreero — a local-first meeting dictaphone where audio never leaves the device.