获取用户模型列表
Retrieve models information.
Query Parameters
typestring
The type of models
Value in
"text" | "image" | "audio" | "video"sub_typestring
The sub type of models. You can use it to filter models individually without setting type.
Value in
"chat" | "embedding" | "reranker" | "text-to-image" | "image-to-image" | "speech-to-text" | "text-to-video"Response Body
fetch("https://api.siliconflow.cn/v1/models?type=text&sub_type=chat")package main
import (
"fmt"
"net/http"
"io/ioutil"
)
func main() {
url := "https://api.siliconflow.cn/v1/models?type=text&sub_type=chat"
req, _ := http.NewRequest("GET", url, nil)
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := ioutil.ReadAll(res.Body)
fmt.Println(res)
fmt.Println(string(body))
}import requests
url = "https://api.siliconflow.cn/v1/models?type=text&sub_type=chat"
response = requests.request("GET", url)
print(response.text)import java.net.URI;
import java.net.http.HttpClient;
import java.net.http.HttpRequest;
import java.net.http.HttpResponse;
import java.net.http.HttpResponse.BodyHandlers;
import java.time.Duration;
HttpClient client = HttpClient.newBuilder()
.connectTimeout(Duration.ofSeconds(10))
.build();
HttpRequest.Builder requestBuilder = HttpRequest.newBuilder()
.uri(URI.create("https://api.siliconflow.cn/v1/models?type=text&sub_type=chat"))
.GET()
.build();
try {
HttpResponse<String> response = client.send(requestBuilder.build(), BodyHandlers.ofString());
System.out.println("Status code: " + response.statusCode());
System.out.println("Response body: " + response.body());
} catch (Exception e) {
e.printStackTrace();
}using System;
using System.Net.Http;
using System.Text;
var client = new HttpClient();
var response = await client.GetAsync("https://api.siliconflow.cn/v1/models?type=text&sub_type=chat");
var responseBody = await response.Content.ReadAsStringAsync();curl --request GET \
--url https://api.siliconflow.cn/v1/models \
--header 'Authorization: Bearer <token>'
import requests
url = "https://api.siliconflow.cn/v1/models"
headers = {"Authorization": "Bearer <token>"}
response = requests.request("GET", url, headers=headers)
print(response.text)
const options = {method: 'GET', headers: {Authorization: 'Bearer <token>'}};
fetch('https://api.siliconflow.cn/v1/models', options)
.then(response => response.json())
.then(response => console.log(response))
.catch(err => console.error(err));
{
"object": "list",
"data": [
{
"id": "stabilityai/stable-diffusion-xl-base-1.0",
"object": "model",
"created": 0,
"owned_by": ""
}
]
}{
"code": 20012,
"message": "string",
"data": "string"
}"Invalid token""Forbidden""404 page not found"{
"message": "Request was rejected due to rate limiting. If you want more, please contact contact@siliconflow.cn. Details:TPM limit reached.",
"data": "string"
}{
"code": 50505,
"message": "Model service overloaded. Please try again later.",
"data": "string"
}"string"