Image-to-Text
MLX
ONNX
Safetensors
Chinese
English
mineru
document-parsing
pdf-extraction
ocr
layout-analysis
table-recognition
formula-recognition
Instructions to use raoqu/mlx-mu with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use raoqu/mlx-mu with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir mlx-mu raoqu/mlx-mu
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Xet hash:
- 717792fd638c5919a98f29b939be2ec3e94da23b9ca7b850820266fc697305da
- Size of remote file:
- 11.4 MB
- SHA256:
- dceac5fc54a795ee7570d17902b47bd05412dc2afa62bdf325c3f97fcb5b87fe
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