metadata

license: apache-2.0
pipeline_tag: image-to-text

使用方法 Usage instructions：

from transformers import AutoTokenizer, VisionEncoderDecoderModel, AutoImageProcessor
from PIL import Image
import requests

feature_extractor = AutoImageProcessor.from_pretrained("MixTex/ZhEn-Latex-OCR")
tokenizer = AutoTokenizer.from_pretrained("MixTex/ZhEn-Latex-OCR", max_len=296)
model = VisionEncoderDecoderModel.from_pretrained("MixTex/ZhEn-Latex-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*}'))

colab: https://colab.research.google.com/drive/1vj3GKTmHcVor7FRKyk254nXEi9Lu_dhL?usp=sharing

样例 Dataset example：

I will release a small portion of the generated synthetic dataset and the data collection methods.

补充 Supplementary information：

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：

Suggested image dimensions: approximately (400, 500), (H, W). Recommended output length: approximately 100-300 tokens. LaTeX environment:

\usepackage{amssymb}
\usepackage{amsmath}
\usepackage{stmaryrd}
\usepackage{color}