manga ocr base 2025

Introduction

The Manga-OCR-Base-2025 is a model available on Hugging Face's Model Hub. It is designed for image-to-text transformations, particularly focused on manga text extraction. The model's specifics, including developers and funding sources, remain unspecified.

Architecture

The technical specifications of the Manga-OCR-Base-2025 model, including its architecture and objective, are not detailed in the provided documentation. It is categorized under the vision-encoder-decoder models, leveraging the transformers library.

Training

Details on the training data, procedure, preprocessing, and hyperparameters are not available. The documentation also lacks information on evaluation metrics and results. Users are advised to be cautious about potential biases, risks, and limitations.

Guide: Running Locally

To run the Manga-OCR-Base-2025 locally, you will need to install the transformers library and download the model from Hugging Face's Model Hub. Here's a simplified guide:

1. Install dependencies:

   pip install transformers
   

2. Download the model: Use the Hugging Face transformers library to load the model in your Python environment.

   from transformers import AutoModelForVisionEncoderDecoder, AutoTokenizer
   model = AutoModelForVisionEncoderDecoder.from_pretrained("jzhang533/manga-ocr-base-2025")
   tokenizer = AutoTokenizer.from_pretrained("jzhang533/manga-ocr-base-2025")
   

3. Run inference: Prepare your image data and pass it through the model to get text output.

For better performance, consider using cloud GPU services such as Google Cloud, AWS, or Azure, which provide scalable resources for running intensive computations.

License

The license information for the Manga-OCR-Base-2025 model is not provided in the documentation. Users should check the model's page on Hugging Face for any updates on licensing terms.