Run from the repository root in a CUDA-enabled Eole environment. The examples use BF16, GPU 0, and FlashAttention; install flash-attn --no-build-isolation or select the PyTorch attention backend in ...
Stack: Kotlin, Jetpack Compose (Material 3), AGP 9.1.1, Gradle 9.3.1, JDK 17, minSdk 31 (Android 12+), compileSdk/targetSdk 37. This project is built with Android Code Studio (a fork of AndroidIDE ...
How to use AutomatosX/AX-DeepSeek-OCR-2-MLX-AXQ-MXFP8 with MLX: # Make sure mlx-vlm is installed # pip install --upgrade mlx-vlm from mlx_vlm import load, generate from mlx_vlm.prompt_utils import ...
如果你现在的文档解析流水线是用 PaddleOCR 搭的,最近又看到混元OCR(HunyuanOCR)在表格 HTML、公式 LaTeX、阅读顺序解析上的表现,大概率会冒出一个念头:能不能不重写调用逻辑,只把模型换掉?
如果你需要在同一套 API 通道下切换调用这两类模型做对比,TaoToken 的统一 Key 能省掉分别维护多套鉴权的麻烦。下面给出可复制的 config.toml 与 settings.json 骨架,再演示一次请求验证两类模型返回结果,帮你快速对比压缩效果。适合正在做长文档解析、OCR 流水线、或者想验证视觉压缩可行性的开发者。