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: 1,134 Bytes
1e1b9bd | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 | {
"model_type": "pp_ocrv5_mobile_rec",
"backbone_config": {
"model_type": "pp_lcnet_v3",
"scale": 0.95,
"out_features": ["stage2", "stage3", "stage4", "stage5"],
"out_indices": [2, 3, 4, 5],
"divisor": 16,
"block_configs": [
[[3, 16, 32, 1, false]],
[[3, 32, 64, 1, false], [3, 64, 64, 1, false]],
[[3, 64, 128, [2, 1], false], [3, 128, 128, 1, false]],
[
[3, 128, 256, [1, 2], false],
[5, 256, 256, 1, false],
[5, 256, 256, 1, false],
[5, 256, 256, 1, false],
[5, 256, 256, 1, false]
],
[
[5, 256, 512, [2, 1], true],
[5, 512, 512, 1, true],
[5, 512, 512, [2, 1], false],
[5, 512, 512, 1, false]
]
]
},
"hidden_act": "silu",
"hidden_size": 120,
"mlp_ratio": 2.0,
"depth": 2,
"head_out_channels": 18385,
"conv_kernel_size": [1, 3],
"qkv_bias": true,
"num_attention_heads": 8,
"attention_dropout": 0.0
} |