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: 1,633 Bytes
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draw_threshold: 0.5
metric: COCO
use_dynamic_shape: false
Global:
model_name: RT-DETR-L_wireless_table_cell_det
arch: DETR
min_subgraph_size: 3
Preprocess:
- interp: 2
keep_ratio: false
target_size:
- 640
- 640
type: Resize
- mean:
- 0.0
- 0.0
- 0.0
norm_type: none
std:
- 1.0
- 1.0
- 1.0
type: NormalizeImage
- type: Permute
label_list:
- cell
Hpi:
backend_configs:
paddle_infer:
trt_dynamic_shapes: &id001
im_shape:
- - 1
- 2
- - 1
- 2
- - 8
- 2
image:
- - 1
- 3
- 640
- 640
- - 1
- 3
- 640
- 640
- - 8
- 3
- 640
- 640
scale_factor:
- - 1
- 2
- - 1
- 2
- - 8
- 2
trt_dynamic_shape_input_data:
im_shape:
- - 640
- 640
- - 640
- 640
- - 640
- 640
- 640
- 640
- 640
- 640
- 640
- 640
- 640
- 640
- 640
- 640
- 640
- 640
- 640
- 640
scale_factor:
- - 2
- 2
- - 1
- 1
- - 0.67
- 0.67
- 0.67
- 0.67
- 0.67
- 0.67
- 0.67
- 0.67
- 0.67
- 0.67
- 0.67
- 0.67
- 0.67
- 0.67
- 0.67
- 0.67
tensorrt:
dynamic_shapes: *id001
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