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
| { | |
| "model_type": "slanext", | |
| "vision_config":{ | |
| "image_size": 512, | |
| "output_channels":256, | |
| "num_channels":3, | |
| "patch_size":16, | |
| "hidden_act":"gelu", | |
| "layer_norm_eps":1e-6, | |
| "attention_dropout":0.0, | |
| "qkv_bias":true, | |
| "use_abs_pos":true, | |
| "use_rel_pos":true, | |
| "window_size":14, | |
| "hidden_size": 768, | |
| "num_hidden_layers": 12, | |
| "num_attention_heads": 12, | |
| "global_attn_indexes": [2, 5, 8, 11], | |
| "mlp_dim": 3072 | |
| }, | |
| "post_conv_in_channels": 256, | |
| "post_conv_out_channels": 512, | |
| "out_channels": 50, | |
| "hidden_size": 512, | |
| "max_text_length": 500, | |
| "loc_reg_num": 8 | |
| } |