metadata
license: apache-2.0
pipeline_tag: image-to-text
该模型为中英文本混合公式与表格LaTeX OCR，详见：https://arxiv.org/abs/2406.17148。 This model is designed for mixed Chinese-English text, formula, and table LaTeX OCR. For more details, please refer to: https://arxiv.org/abs/2406.17148.
使用方法：
from transformers import AutoTokenizer, VisionEncoderDecoderModel, AutoImageProcessor
from PIL import Image
import requests
feature_extractor = AutoImageProcessor.from_pretrained("lrqlrqlrq/MixTex_Tiny_ZhEn_Latex_Math_OCR")
tokenizer = AutoTokenizer.from_pretrained("lrqlrqlrq/MixTex_Tiny_ZhEn_Latex_Math_OCR", max_len=296)
model = VisionEncoderDecoderModel.from_pretrained("lrqlrqlrq/MixTex_Tiny_ZhEn_Latex_Math_OCR")
imgen = Image.open(requests.get('https://cdn-uploads.huggingface.co/production/uploads/62dbaade36292040577d2d4f/eOAym7FZDsjic_8ptsC-H.png', stream=True).raw)
#imgzh = Image.open(requests.get('https://cdn-uploads.huggingface.co/production/uploads/62dbaade36292040577d2d4f/m-oVg8dsQbQZ1fDWbwKtO.png', stream=True).raw)
print(tokenizer.decode(model.generate(feature_extractor(imgen, return_tensors="pt").pixel_values)[0]).replace('\\[','\\begin{align*}').replace('\\]','\\end{align*}'))
补充：
建议图片尺寸：大约 (400, 500), (H, W)。 建议输出字数：大约100－300个tokens。 Latex 环境：
\usepackage{amssymb}
\usepackage{amsmath}
\usepackage{stmaryrd}
\usepackage{color}
样例：
