Hugging Face's logo Hugging Face
  • Models
  • Datasets
  • Spaces
  • Buckets new
  • Docs
  • Enterprise
  • Pricing
    • Website
      • Tasks
      • HuggingChat
      • Collections
      • Languages
      • Organizations
    • Community
      • Blog
      • Posts
      • Daily Papers
      • Hardware
      • Learn
      • Discord
      • Forum
      • GitHub
    • Solutions
      • Team & Enterprise
      • Hugging Face PRO
      • Enterprise Support
      • Inference Providers
      • Inference Endpoints
      • Storage Buckets

  • Log In
  • Sign Up

MixTex
/
ZhEn-Latex-OCR

Image-to-Text
Transformers
Safetensors
vision-encoder-decoder
image-text-to-text
Model card Files Files and versions
xet
Community
3

Instructions to use MixTex/ZhEn-Latex-OCR with libraries, inference providers, notebooks, and local apps. Follow these links to get started.

  • Libraries
  • Transformers

    How to use MixTex/ZhEn-Latex-OCR with Transformers:

    # Use a pipeline as a high-level helper
    # Warning: Pipeline type "image-to-text" is no longer supported in transformers v5.
    # You must load the model directly (see below) or downgrade to v4.x with:
    # 'pip install "transformers<5.0.0'
    from transformers import pipeline
    
    pipe = pipeline("image-to-text", model="MixTex/ZhEn-Latex-OCR")
    # Load model directly
    from transformers import AutoTokenizer, AutoModelForMultimodalLM
    
    tokenizer = AutoTokenizer.from_pretrained("MixTex/ZhEn-Latex-OCR")
    model = AutoModelForMultimodalLM.from_pretrained("MixTex/ZhEn-Latex-OCR")
  • Notebooks
  • Google Colab
  • Kaggle
New discussion
Resources
  • PR & discussions documentation
  • Code of Conduct
  • Hub documentation

This model needs to be made multilingual.

#3 opened about 1 year ago by
manrajidevi91

Hello, I am interested in OCR technique, could I use this model in traditional Chinese

#2 opened almost 2 years ago by
MoleBioL

Is the data ready for open source?

4
#1 opened about 2 years ago by
listen
Company
TOS Privacy About Careers
Website
Models Datasets Spaces Pricing Docs