Model reference · open weights
PP-LCNet_x1_0_textline_ori is an open-weight language model from PaddlePaddle, listed in the AxForge catalogue. AxForge can bring it up on EU-owned hardware for you on request — with the licence handled where one is required.
About
PP-LCNetx10textlineori Introduction The text line orientation classification module primarily distinguishes the orientation of text lines and corrects them using post-processing. In processes such as document scanning and license/certificate photography, to capture clearer images, the capture device may be rotated, resulting in text lines in various orientations. Standard OCR pipelines cannot handle such data well. By utilizing image classification technology, the orientation of text lines can be predetermined and adjusted, thereby enhancing the accuracy of OCR processing. The key accuracy metrics are as follow: Quick Start Installation 1. PaddlePaddle Please refer to the following commands to install PaddlePaddle using pip: For details about PaddlePaddle installation, please refer to the PaddlePaddle official website. 2. PaddleOCR Install the latest version of the PaddleOCR inference package from PyPI: Model Usage You can quickly experience the functionality with a single command: You can also integrate the model inference of the text recognition module into your project. Before running the following code, please download the sample image to your local machine. After running, the obtained result is as follows: The visualized image is as follows: For details about usage command and descriptions of parameters, please refer to the Document. Links PaddleOCR Repo PaddleOCR Documentation
Summarised from the published model card. Read the full card on the HuggingFace links below.
Specifications
| Maker | PaddlePaddle |
|---|---|
| Type | Language models |
| Variants | 1 |
| Runs with | PaddleOCR |
| Released | 2025-06-12 |
| Popularity | 154k downloads / month |
| Likes | 7 |
| Licence | Open weights |
How it works
Variants
Open weights ship in several sizes and precisions. One page, all the variants — pick the one that fits your GPU. VRAM figures are estimates from model size.
| Variant | Params | Precision | VRAM | Fits 16 GB | Weights |
|---|---|---|---|---|---|
| PP-LCNet_x1_0_textline_ori | — | BF16 | — | — | Weights ↗ |
Using it via the API
Once AxForge deploys pp-lcnet-x1-0-textline-ori for you, it answers on the OpenAI-compatible API — the same base URL and keys as every other model. (pp-lcnet-x1-0-textline-ori below is illustrative; you get the exact model name on deployment.)
$ curl -sS https://api.axforge.ai/v1/chat/completions \
-H "Authorization: Bearer $AXFORGE_API_KEY" \
-H "Content-Type: application/json" \
-d '{"model":"pp-lcnet-x1-0-textline-ori","messages":[{"role":"user","content":"Hello"}]}'
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Licence
Open weights under apache-2.0 — commercial use is permitted. Deploy it on AxForge EU hardware on request. Read the licence ↗