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: 423 Bytes
1e1b9bd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | {
"model_type": "pp_ocrv5_mobile_det",
"reduction":4,
"layer_list_out_channels": [12, 18, 42, 360],
"backbone_config": {
"model_type": "pp_lcnet_v3",
"scale": 0.75,
"out_features": ["stage2", "stage3", "stage4", "stage5"],
"out_indices": [2, 3, 4, 5],
"divisor": 16
},
"neck_out_channels": 96,
"kernel_list": [3, 2, 2],
"interpolate_mode": "nearest"
} |