Image-Text-to-Text
PaddleOCR
Safetensors
MLX
English
Chinese
multilingual
paddleocr_vl
ERNIE4.5
PaddlePaddle
image-to-text
ocr
document-parse
layout
table
formula
chart
conversational
custom_code
Instructions to use mlx-community/PaddleOCR-VL-bfloat16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PaddleOCR
How to use mlx-community/PaddleOCR-VL-bfloat16 with PaddleOCR:
# See https://www.paddleocr.ai/latest/version3.x/pipeline_usage/PaddleOCR-VL.html to installation from paddleocr import PaddleOCRVL pipeline = PaddleOCRVL(pipeline_version="mlx-community/PaddleOCR-VL-bfloat16") output = pipeline.predict("path/to/document_image.png") for res in output: res.print() res.save_to_json(save_path="output") res.save_to_markdown(save_path="output") - MLX
How to use mlx-community/PaddleOCR-VL-bfloat16 with MLX:
# Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import apply_chat_template from mlx_vlm.utils import load_config # Load the model model, processor = load("mlx-community/PaddleOCR-VL-bfloat16") config = load_config("mlx-community/PaddleOCR-VL-bfloat16") # Prepare input image = ["http://images.cocodataset.org/val2017/000000039769.jpg"] prompt = "Describe this image." # Apply chat template formatted_prompt = apply_chat_template( processor, config, prompt, num_images=1 ) # Generate output output = generate(model, processor, formatted_prompt, image) print(output) - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
File size: 1,122 Bytes
cdebc36 | 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 38 39 40 41 42 43 44 45 46 47 | {
"image_processor": {
"auto_map": {
"AutoImageProcessor": "image_processing_paddleocr_vl.PaddleOCRVLImageProcessor",
"AutoProcessor": "processing_paddleocr_vl.PaddleOCRVLProcessor"
},
"crop_size": null,
"data_format": "channels_first",
"device": null,
"disable_grouping": null,
"do_center_crop": null,
"do_convert_rgb": true,
"do_normalize": true,
"do_pad": null,
"do_rescale": true,
"do_resize": true,
"image_mean": [
0.5,
0.5,
0.5
],
"image_processor_type": "PaddleOCRVLImageProcessorFast",
"image_seq_length": null,
"image_std": [
0.5,
0.5,
0.5
],
"input_data_format": null,
"max_pixels": 2822400,
"merge_size": 2,
"min_pixels": 147384,
"pad_size": null,
"patch_size": 14,
"processor_class": "PaddleOCRVLProcessor",
"resample": 3,
"rescale_factor": 0.00392156862745098,
"return_tensors": null,
"size": {
"longest_edge": 2822400,
"shortest_edge": 147384
},
"temporal_patch_size": 1
},
"processor_class": "PaddleOCRVLProcessor"
}
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