ChestVision Fine Tuned Vision Language Model

提供商AhmedOkasha
分类multimodal-representation
许可证Apache-2.0
下载量3
星标0

简介

ChestVision 是一款专门针对胸部 X 光影像微调的视觉语言模型（VLM）。它将计算机视觉与自然语言处理相结合，旨在将医学影像转化为可理解的文本描述。对于开发者而言，该模型解决了通用视觉模型在医学专业领域“看不准”的问题，能够更精准地识别胸片中的病灶或异常征象。它适用于构建 AI 辅助诊断系统、自动生成影像报告或医学影像预筛选场景。由于其基于开源协议且经过专项微调，上手难度较低，可作为医疗 AI 应用中影像分析模块的核心组件。

核心亮点

  • 专注于胸部 X 光片的专业医学影像分析
  • 实现医学影像到自然语言描述的精准转换
  • 适用于 AI 辅助诊断及影像报告自动生成
  • 采用 Apache-2.0 协议，便于商业化部署

使用方法

安装依赖
# 安装 Hugging Face transformers
pip install transformers torch
SDK 使用
# 使用 transformers 加载模型
from transformers import AutoModel, AutoTokenizer

model = AutoModel.from_pretrained("AhmedOkasha/ChestVision-Fine-Tuned-Vision-Language-Model")
tokenizer = AutoTokenizer.from_pretrained("AhmedOkasha/ChestVision-Fine-Tuned-Vision-Language-Model")

Hugging Face 下载

我们推荐使用命令行或者 Hugging Face Hub SDK 来进行模型的下载。

操作指引：在下载前，请先通过如下命令安装 huggingface_hub：

操作指引 
pip install -U huggingface_hub

命令行下载

下载完整模型库

下载完整模型库 
huggingface-cli download AhmedOkasha/ChestVision-Fine-Tuned-Vision-Language-Model

下载单个文件到指定本地文件夹（以下载 config.json 到当前路径下 ./dir 目录为例）

下载单个文件到指定本地文件夹（以下载 config.json 到当前路径下 ./dir 目录为例） 
huggingface-cli download AhmedOkasha/ChestVision-Fine-Tuned-Vision-Language-Model config.json --local-dir ./dir

更多命令行下载选项，可参见官方文档

SDK 下载

SDK 下载 
# 模型下载
from huggingface_hub import snapshot_download
model_dir = snapshot_download('AhmedOkasha/ChestVision-Fine-Tuned-Vision-Language-Model')

Git 下载

请确保 lfs 已经被正确安装

Git 下载 
git lfs install
git clone https://huggingface.co/AhmedOkasha/ChestVision-Fine-Tuned-Vision-Language-Model

如果您希望跳过 lfs 大文件下载，可以使用如下命令

跳过 LFS 
GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/AhmedOkasha/ChestVision-Fine-Tuned-Vision-Language-Model

模型文件托管在 Hugging Face Hub，使用 HF CLI / SDK / Git 直接下载，不经过本站。

PyTorch / Transformers 使用

安装 Transformers

安装 Transformers 
pip install -U transformers torch

模型加载和推理

模型加载和推理 
from transformers import AutoModelForCausalLM, AutoTokenizer

model = AutoModelForCausalLM.from_pretrained('AhmedOkasha/ChestVision-Fine-Tuned-Vision-Language-Model')
tokenizer = AutoTokenizer.from_pretrained('AhmedOkasha/ChestVision-Fine-Tuned-Vision-Language-Model')

完整文档

来源: HuggingFace

---
base_model: meta-llama/Llama-3.2-3B
library_name: peft
---

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Framework versions

  • PEFT 0.15.2
查看官方来源