Instructions to use internetworks/paprika-whisper-lt-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use internetworks/paprika-whisper-lt-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir paprika-whisper-lt-mlx internetworks/paprika-whisper-lt-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
paprika-whisper-lt-mlx
MLX conversion of kristijonas/paprika-whisper-lt, a Lithuanian fine-tune of openai/whisper-large-v3-turbo (via svogunas/whisper-large-v3-turbo-lt).
This repo fixes the feature extractor filename from the nonstandard processor_config.json to the standard preprocessor_config.json, so transformers.WhisperProcessor.from_pretrained() works without patching.
Use
import mlx_whisper
result = mlx_whisper.transcribe("audio.wav", path_or_hf_repo="internetworks/paprika-whisper-lt-mlx")
print(result["text"])
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Model size
0.8B params
Tensor type
I64
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F16 ·
Hardware compatibility
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Model tree for internetworks/paprika-whisper-lt-mlx
Base model
openai/whisper-large-v3 Finetuned
openai/whisper-large-v3-turbo Finetuned
svogunas/whisper-large-v3-turbo-lt Finetuned
kristijonas/paprika-whisper-lt