OneChart: Purify the Chart Structural Extraction via One Auxiliary Token
Paper • 2404.09987 • Published • 2
# Load model directly
from transformers import AutoModel
model = AutoModel.from_pretrained("kppkkp/OneChart", trust_remote_code=True, dtype="auto")Jinyue Chen*, Lingyu Kong*, Haoran Wei, Chenglong Liu, Zheng Ge, Liang Zhao, Jianjian Sun, Chunrui Han, Xiangyu Zhang
from transformers import AutoModel, AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained('kppkkp/OneChart', trust_remote_code=True, use_fast=False, padding_side="right")
model = AutoModel.from_pretrained('kppkkp/OneChart', trust_remote_code=True, low_cpu_mem_usage=True, device_map='cuda')
model = model.eval().cuda()
# input your test image
image_file = 'image.png'
res = model.chat(tokenizer, image_file, reliable_check=True)
print(res)
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("feature-extraction", model="kppkkp/OneChart", trust_remote_code=True)