Update README.md

README.md

@@ -1,3 +1,38 @@
----
-license: mit
----
+---
+license: mit
+language:
+- en
+- tr
+---
+
+# PaddleOCR Mobile Quantized Models (ONNX)
+
+<details>
+<summary><strong>🇬🇧 English README</strong></summary>
+
+## Overview
+This repo hosts four **ONNX** models converted from PaddleOCR mobile checkpoints
+
+| File | Task | Language scope | Input shape |
+|------|------|----------------|-------------|
+| `Multilingual_PP-OCRv3_det_infer.onnx` | Text-detection | 80+ scripts | **NCHW • 1×3×H×W** |
+| `PP-OCRv3_mobile_det_infer.onnx` | Text-detection | Latin only | 1×3×H×W |
+| `ch_ppocr_mobile_v2.0_cls_infer.onnx` | Angle classifier | Chinese/Latin | 1×3×H×W |
+| `latin_PP-OCRv3_mobile_rec_infer.onnx` | Text-recognition | Latin | 1×3×H×W |
+
+All models were:
+* exported with **paddle2onnx 1.2.3** (`opset 11`)
+* simplified via **onnx-simplifier 0.4+**
+
+## Quick Start
+
+```python
+import onnxruntime as ort, numpy as np
+img = np.random.rand(1, 3, 224, 224).astype("float32")
+
+det   = ort.InferenceSession("Multilingual_PP-OCRv3_det_infer.onnx")
+cls   = ort.InferenceSession("ch_ppocr_mobile_v2.0_cls_infer.onnx")
+rec   = ort.InferenceSession("latin_PP-OCRv3_mobile_rec_infer.onnx")
+
+det_out = det.run(None, {det.get_inputs()[0].name: img})[0]
+# add your post-processing / cropping / decoding here …