Image-to-Text
MLX
Safetensors
mlx-weights
paddlepaddle-ocr
ppocrv5
ppocrv6
ppdoclayoutv3
pp-structure
apple-silicon
Instructions to use plaincompute/ppocr-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use plaincompute/ppocr-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir ppocr-mlx plaincompute/ppocr-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
File size: 584 Bytes
1e1b9bd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 | {
"image_processor": {
"do_align_long_axis": false,
"do_crop_margin": true,
"do_normalize": true,
"do_pad": true,
"do_rescale": true,
"do_resize": true,
"do_thumbnail": true,
"size": {
"height": 768,
"width": 768
},
"image_mean": [0.7931, 0.7931, 0.7931],
"image_std": [0.1738, 0.1738, 0.1738],
"image_processor_type": "PPFormulaNetImageProcessor",
"resample": 2,
"return_tensors": "pt"
},
"processor_class": "PPFormulaNetProcessor"
} |