Instructions to use PaddlePaddle/PP-Chart2Table with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- PaddleOCR
How to use PaddlePaddle/PP-Chart2Table with PaddleOCR:
# 1. See https://www.paddlepaddle.org.cn/en/install to install paddlepaddle # 2. pip install paddleocr from paddleocr import ChartParsing model = ChartParsing(model_name="PP-Chart2Table") output = model.predict(input="path/to/image.png", batch_size=1) for res in output: res.print() res.save_to_img(save_path="./output/") res.save_to_json(save_path="./output/res.json") - Notebooks
- Google Colab
- Kaggle
File size: 944 Bytes
d575258 bee4e49 | 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 | {
"_name_or_path": "ucaslcl/GOT-OCR2_0",
"architectures": [
"GOTQwenForCausalLM"
],
"auto_map": {
"AutoConfig": "modeling_GOT.GOTConfig",
"AutoModel": "modeling_GOT.GOTQwenForCausalLM"
},
"attention_dropout": 0.0,
"bos_token_id": 151643,
"eos_token_id": 151643,
"freeze_vision_tower": false,
"hidden_act": "silu",
"hidden_size": 1024,
"im_end_token": 151858,
"im_patch_token": 151859,
"im_start_token": 151857,
"image_token_len": 256,
"initializer_range": 0.02,
"intermediate_size": 2816,
"max_position_embeddings": 32768,
"max_window_layers": 21,
"model_type": "GOT",
"num_attention_heads": 16,
"num_hidden_layers": 24,
"num_key_value_heads": 16,
"rms_norm_eps": 1e-06,
"rope_theta": 1000000.0,
"sliding_window": 32768,
"tie_word_embeddings": true,
"dtype": "bfloat16",
"use_cache": true,
"use_im_start_end": true,
"use_sliding_window": false,
"vocab_size": 151860
}
|