HunyuanOCR EU AI Act Compliance Profile

📖 Introduction

HunyuanOCR stands as a leading end-to-end OCR expert VLM powered by Hunyuan's native multimodal architecture. With a remarkably lightweight 1B parameter design, it has achieved multiple state-of-the-art benchmarks across the industry. The model demonstrates mastery in complex multilingual document parsing while excelling in practical applications including text spotting, open-field information extraction, video subtitle extraction, and photo translation.

🚀 Quick Start with Transformers

Installation

pip install git+https://github.com/huggingface/transformers@82a06db03535c49aa987719ed0746a76093b1ec4

Note: We will merge it into the Transformers main branch later.

Model Inference

from transformers import AutoProcessor
from transformers import HunYuanVLForConditionalGeneration
from PIL import Image
import torch

def clean_repeated_substrings(text):
    """Clean repeated substrings in text"""
    n = len(text)
    if n<8000:
        return text
    for length in range(2, n // 10 + 1):
        candidate = text[-length:] 
        count = 0
        i = n - length
        
        while i >= 0 and text[i:i + length] == candidate:
            count += 1
            i -= length

        if count >= 10:
            return text[:n - length * (count - 1)]  

    return text

model_name_or_pa

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Tags

Languages

Library

Base Model