Instructions to use AdpatToAIera/oreero-whisper-sk with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- WhisperKit
How to use AdpatToAIera/oreero-whisper-sk with WhisperKit:
# Install CLI with Homebrew on macOS device brew install whisperkit-cli # View all available inference options whisperkit-cli transcribe --help # Download and run inference using whisper base model whisperkit-cli transcribe --audio-path /path/to/audio.mp3 # Or use your preferred model variant whisperkit-cli transcribe --model "large-v3" --model-prefix "distil" --audio-path /path/to/audio.mp3 --verbose
- Notebooks
- Google Colab
- Kaggle
Oreero β Slovak Whisper models for WhisperKit (Core ML)
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 β they trade other languages' quality for the best published Slovak accuracy.
Conversion
Converted with whisperkittools
(whisperkit-generate-model), unmodified weights, default precision. Each
folder contains MelSpectrogram.mlmodelc, AudioEncoder.mlmodelc,
TextDecoder.mlmodelc.
Credits & license
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 β a local-first meeting dictaphone where audio never leaves the device.
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Model tree for AdpatToAIera/oreero-whisper-sk
Base model
openai/whisper-large-v3