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:
- 183ea379149db5ddf9976a22920b057ea6d7686a1827fa41d980e158c24eac93
- Size of remote file:
- 113 MB
- SHA256:
- d2a94eb2c8c0623f3de6265e8f88f2798c319c4a33401c7a9dacf70e5802113d
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