feat(model): 新增 ModelLoader 链式构建 API 及 ORT GPU/Tract 多线程配置

- 在 ddddocr-core 中定义 ModelBuilder Trait 及其错误类型
- ddddocr-ort 支持 use_gpu、device_id 及 num_threads 链式配置与 CUDA 硬件加速
- ddddocr-tract 基于 multithread-mm 特性支持 CPU 线程数控制
- 支持基于 tract-linalg 配置推理线程数，显式引入 tract-linalg 的 multithread-mm 特性，控制 GEMM 算子并发
- 优化线程池加载策略，适配 Tokio 异步及 CLI 等多场景

Cargo.toml

@@ -1,24 +1,29 @@
 [workspace]
 resolver = "2"
 members = [
-    "ddddocr-core",
+    "ddddocr-core", "ddddocr-ort",
     "ddddocr-tract",
 ]
 
 [workspace.package]
-version = "0.1.0"
+version = "0.2.0"
 edition = "2024"
 license = "MIT OR Apache-2.0"
 
 
 [workspace.dependencies]
-tract-onnx = { version = "0.21.10" }
-anyhow = "1.0.102"
+tract-onnx = "0.23.4"
+tract-linalg = { version = "0.23.4",features = ["multithread-mm"]}
+ort = "2.0.0-rc.12"
+ndarray = "0.17.2"
+
 image = "0.25.10"
 base64 = "0.22.1"
 imageproc = { version = "0.26.2", default-features = true }
+
 serde = { version = "1.0.228", features = ["derive"] }
 serde_json = "1.0.150"
-ndarray = "0.16.1"
+
+anyhow = "1.0.102"
 thiserror = "1.0" # 刚好可以开始接入你需要的标准库错误处理
-tracing = "0.1.44" # 埋入日志打点(后续需要继续优化，现在只是简单尝试)
+tracing = "0.1.44" # 埋入日志打点(后续需要继续优化，现在只是简单尝试)