🤖 image-to-text

PP-LCNet_x1_0_textline_ori

PaddlePaddle/PP-LCNet_x1_0_textline_ori

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PaddleOCR
Library
Model Details
Full Model IDPaddlePaddle/PP-LCNet_x1_0_textline_ori
Pipeline / Taskimage-to-text
LibraryPaddleOCR
Downloads (all-time)179.7K
Likes2
Last Modified8/29/2025
Author / OrgPaddlePaddle
PrivateNo — public
⚡ Quick Usage (Python)

Using the 🤗 Transformers library. Install with pip install transformers

from transformers import pipeline

# Load the model
pipe = pipeline("image-to-text", model="PaddlePaddle/PP-LCNet_x1_0_textline_ori")

# Run inference
result = pipe("Your input here")
print(result)
🏷️ Tags
PaddleOCROCRPaddlePaddletextline_orientation_classificationimage-to-textenzhlicense:apache-2.0region:us
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🚀 Use This Model

Access model files, inference API, and full documentation on Hugging Face.

Open on Hugging Face →Browse Model Files ↗← Browse All Models
🤖 Task: image-to-text

This model is designed for the image-to-text task. Explore more models for this use case.

All image-to-text Models →
📊 Popularity
Downloads179.7K
❤️ Community Likes2
🛠️ Requirements
  • Install: pip install PaddleOCR
  • Python 3.8+ recommended for Transformers.
  • GPU (CUDA) speeds up inference significantly.
  • Use model.half() for fp16 on limited VRAM.
👋 Need help with code?