将项目Fork到自己账号下,git clone 到本地,打开解决方案,项目结构如下: 由于.env文件包含API Key这个敏感信息,因此我没有上传到GitHub上,自己在同样的位置新建一个.env文件,格式如下所示: SILICON_CLOUD_API_KEY=sk-xxx 填入自己的SILICON_CLOUD_API_KEY,如下所示: 设置.env文件的属性: 这样设置一下,应该就可...
将项目Fork到自己账号下,git clone 到本地,打开解决方案,项目结构如下: 由于.env文件包含API Key这个敏感信息,因此我没有上传到GitHub上,自己在同样的位置新建一个.env文件,格式如下所示: SILICON_CLOUD_API_KEY=sk-xxx 填入自己的SILICON_CLOUD_API_KEY,如下所示: 设置.env文件的属性: 这样设置一下,应该就可...
将项目Fork到自己账号下,git clone 到本地,打开解决方案,项目结构如下: 由于.env文件包含API Key这个敏感信息,因此我没有上传到GitHub上,自己在同样的位置新建一个.env文件,格式如下所示: SILICON_CLOUD_API_KEY=sk-xxx 填入自己的SILICON_CLOUD_API_KEY,如下所示: 设置.env文件的属性: 这样设置一下,应该就可...
将项目Fork到自己账号下,git clone 到本地,打开解决方案,项目结构如下: 由于.env文件包含API Key这个敏感信息,因此我没有上传到GitHub上,自己在同样的位置新建一个.env文件,格式如下所示: SILICON_CLOUD_API_KEY=sk-xxx 填入自己的SILICON_CLOUD_API_KEY,如下所示: 设置.env文件的属性: 这样设置一下,应该就可...
api_key="EMPTY" ) response = client.chat.completions.create( model="model", messages=[{ "role": "user", "content": [ {"type": "text", "text": "Are these images different?"}, { "type": "image_url", "image_url": {
pip install openai==1.56.2import timeimport concurrent.futuresfrom openai import OpenAI# 初始化OpenAI客户端client = OpenAI(base_url="http://localhost:8000/v1",api_key="EMPTY")# 请求参数model = "model"messages = [{"role": "user","content": [{"type": "text", "text": "Are these ...
Use the API key in the n8n VLM Run node credentials📦 CompatibilityRequires n8n version 1.0.0 or later Node.js version 18 or later📖 UsageConfigure Credentials: Add your VLM Run API credentials in n8n Set the API base URL (default: https://api.vlm.run/v1) Add VLM Run Node: Search...
import { VlmRun } from "vlmrun"; // Initialize the client const client = new VlmRun({ apiKey: "your-api-key", }); // Process an image (using image url) const imageUrl = "https://storage.googleapis.com/vlm-data-public-prod/hub/examples/document.invoice/invoice_1.jpg"; const ...
Using PaliGemma for Inference: Key Steps Tokenizing the Input Text: Text is tokenized as usual. A<bos>token is added at the beginning. A newline token (\n) is appended, which is important as it was part of the model’s training input prompt. ...
{"api_server_port":5015,"prometheus_port":5017,"model":"Efficient-Large-Model/VILA1.5-13b","log_level":"INFO","print_stats":true} Key Value Type Value Example Description Notes “api_server_port” int 5015 port the main pipeline will expose its REST APIs for stream and model control ...