Instructions to use FredrikKarlssonSpeech/whisper-large-v2-finnish-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use FredrikKarlssonSpeech/whisper-large-v2-finnish-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir whisper-large-v2-finnish-mlx FredrikKarlssonSpeech/whisper-large-v2-finnish-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
whisper-large-v2-finnish (MLX, float16)
MLX conversion of Finnish-NLP/whisper-large-v2-finnish for fast inference on Apple Silicon via mlx-whisper.
Converted with mlx-examples/whisper/convert.py at float16 precision.
Usage
pip install mlx-whisper
mlx_whisper audio_file.mp3 --model FredrikKarlssonSpeech/whisper-large-v2-finnish-mlx
import mlx_whisper
result = mlx_whisper.transcribe("audio_file.mp3", path_or_hf_repo="FredrikKarlssonSpeech/whisper-large-v2-finnish-mlx")
print(result["text"])
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Model tree for FredrikKarlssonSpeech/whisper-large-v2-finnish-mlx
Base model
Finnish-NLP/whisper-large-v2-finnish