feat: dcu初始提交

Dockerfile

-FROM image.sourcefind.cn:5000/gpu/admin/base/jupyterlab-pytorch:2.3.1-py3.10-cuda11.8-ubuntu22.04-devel as base
+FROM image.sourcefind.cn:5000/dcu/admin/base/jupyterlab-pytorch:2.3.0-ubuntu22.04-dtk24.04.2-py3.10-devel as base
 ARG IMAGE=smolvlm
 ARG IMAGE_UPPER=SmolVLM
-ARG BRANCH=gpu
+ARG BRANCH=dcu
 RUN cd /root && git clone -b $BRANCH http://developer.hpccube.com/codes/chenpangpang/$IMAGE.git
 WORKDIR /root/$IMAGE/$IMAGE_UPPER
 RUN pip install -r requirements.txt
@@ -10,7 +10,7 @@ RUN pip install -r requirements.txt
 #########
 # Prod  #
 #########
-FROM image.sourcefind.cn:5000/gpu/admin/base/jupyterlab-pytorch:2.3.1-py3.10-cuda11.8-ubuntu22.04-devel
+FROM image.sourcefind.cn:5000/dcu/admin/base/jupyterlab-pytorch:2.3.0-ubuntu22.04-dtk24.04.2-py3.10-devel
 ARG IMAGE=smolvlm
 ARG IMAGE_UPPER=SmolVLM
 COPY chenyh/$IMAGE/frpc_linux_amd64_* /opt/conda/lib/python3.10/site-packages/gradio/

SmolVLM/requirements.txt

 accelerate
-huggingface_hub
 gradio
 transformers==4.46.2

启动器.ipynb

@@ -11,7 +11,7 @@
     "- 原项目地址：https://huggingface.co/spaces/HuggingFaceTB/SmolVLM\n",
     "- SmolVLM是一个紧凑的开放式多模态对话机器人，可接受任意序列的图像和文本输入以生成文本输出，可回答有关图像的问题，描述视觉内容，基于多幅图像创建故事，或者在没有视觉输入的情况下充当纯语言模型。\n",
     "## 运行资源\n",
-    "- 项目在L20显卡，cuda12.2上进行适配\n",
+    "- 项目在异构加速卡AI，dtk24.04.2上进行适配\n",
     "## 使用说明\n",
     "- 启动和重启 Notebook 点上方工具栏中的「重启并运行所有单元格」。出现如下内容就算成功了：\n",
     "    - `Running on local URL:  http://0.0.0.0:7860`\n",