查看可评估模型列表
更新时间：2025-07-15
功能介绍
用于查看可评估模型列表。
使用说明
本文API支持通过Python SDK、Go SDK、Java SDK和Node.js SDK调用，调用流程请参考SDK安装及使用流程。
SDK调用
调用示例
import os
from qianfan import resources
# 通过环境变量初始化认证信息
# 使用安全认证AK/SK调用，替换下列示例中参数，安全认证Access Key替换your_iam_ak，Secret Key替换your_iam_sk，如何获取请查看https://cloud.baidu.com/doc/Reference/s/9jwvz2egb
os.environ["QIANFAN_ACCESS_KEY"] = "your_iam_ak"
os.environ["QIANFAN_SECRET_KEY"] = "your_iam_sk"
resp = resources.console.utils.call_action(
# 调用本文API，该参数值为固定值，无需修改；对应API调用文档-请求结构-请求地址的后缀
"/wenxinworkshop/modelrepo/eval/model/list", "",
# 请查看本文请求参数说明，根据实际使用选择参数；对应API调用文档-请求参数-Body参数
{
}
)
print(resp.body)package main
import (
"context"
"fmt"
"os"
"github.com/baidubce/bce-qianfan-sdk/go/qianfan"
)
func main() {
// 使用安全认证AK/SK鉴权，通过环境变量初始化；替换下列示例中参数，安全认证Access Key替换your_iam_ak，Secret Key替换your_iam_sk
os.Setenv("QIANFAN_ACCESS_KEY", "your_iam_ak")
os.Setenv("QIANFAN_SECRET_KEY", "your_iam_sk")
ca := qianfan.NewConsoleAction()
res, err := ca.Call(context.TODO(),
// 调用本文API，该参数值为固定值，无需修改；对应API调用文档-请求结构-请求地址的后缀
"/wenxinworkshop/modelrepo/eval/model/list", "",
// 请查看本文请求参数说明，根据实际使用选择参数；对应API调用文档-请求参数-Body参数
map[string]interface{}{
})
if err != nil {
panic(err)
}
fmt.Println(string(res.Body))
}import com.baidubce.qianfan.Qianfan;
import com.baidubce.qianfan.model.console.ConsoleResponse;
import com.baidubce.qianfan.util.CollUtils;
import com.baidubce.qianfan.util.Json;
import java.util.Map;
public class Dome {
public static void main(String args[]){
// 使用安全认证AK/SK鉴权，替换下列示例中参数，安全认证Access Key替换your_iam_ak，Secret Key替换your_iam_sk
Qianfan qianfan = new Qianfan("your_iam_ak", "your_iam_sk");
ConsoleResponse<List<Map<String, Object>>> response = qianfan.console()
// 调用本文API，该参数值为固定值，无需修改；对应API调用文档-请求结构-请求地址的后缀
.route("/wenxinworkshop/modelrepo/eval/model/list")
// 需要传入参数的场景，可以自行封装请求类，或者使用Map.of()来构建请求Body
// Java 8可以使用SDK提供的CollUtils.mapOf()来替代Map.of()
// 请查看本文请求参数说明，根据实际使用选择参数；对应API调用文档-请求参数-Body参数
.body(CollUtils.mapOf(
))
.execute(new TypeRef<List<Map<String, Object>>>() {});
System.out.println(Json.serialize(response));
}
}import {consoleAction, setEnvVariable} from "@baiducloud/qianfan";
// 使用安全认证AK/SK鉴权，通过环境变量初始化；替换下列示例中参数，安全认证Access Key替换your_iam_ak，Secret Key替换your_iam_sk
setEnvVariable('QIANFAN_ACCESS_KEY','your_iam_ak');
setEnvVariable('QIANFAN_SECRET_KEY','your_iam_sk');
async function main() {
//base_api_route:调用本文API，该参数值为固定值，无需修改；对应API调用文档-请求结构-请求地址的后缀
//data:请查看本文请求参数说明，根据实际使用选择参数；对应API调用文档-请求参数-Body参数
const res = await consoleAction({base_api_route: '/wenxinworkshop/modelrepo/eval/model/list', data: { }
});
console.log(res);
}
main();返回示例
{
"log_id": "2347238209",
"result": [
{
"modelId": 8,
"modelIdStr": "am-ay2k0r83q9qr",
"modelName": "ERNIE-***",
"source": "PlatformPreset",
"modelType": 0,
"trainType": "ernieBotLite",
"modelVersionList": [
{
"modelVersionId": 600,
"modelVersionIdStr": "amv-nsjesf9kasjt",
"version": "ERNIE-***",
"sourceType": "PlatformPreset",
"framework": "paddle",
"algorithm": "ERNIE_***",
"modelNet": "paddlepaddle-***",
"trainType": "ernie***",
"description": "通过数据和策略迭代，提升模型生成效果。"
},
{
"modelVersionId": 492,
"modelVersionIdStr": "amv-4u0rw8juur1p",
"version": "ERNIE-***",
"sourceType": "PlatformPreset",
"framework": "paddle",
"algorithm": "ERNIE_***",
"modelNet": "paddlepaddle-***",
"trainType": "ernie***",
"description": "支持7K输入+1K输出，支持系统设置，新增推理参数"
},
{
"modelVersionId": 244,
"modelVersionIdStr": "amv-70ahikpspjqs",
"version": "ERNIE-***",
"sourceType": "PlatformPreset",
"framework": "paddle",
"algorithm": "ERNIE_***",
"modelNet": "paddlepaddle-***",
"trainType": "ernie***",
"description": "优化推理效果，修复部分问题"
}
]
},
{
"modelId": 446,
"modelIdStr": "am-44f8ji8eegp0",
"modelName": "Yi-34B",
"source": "PlatformPreset",
"modelType": 0,
"trainType": "",
"modelVersionList": [
{
"modelVersionId": 635,
"modelVersionIdStr": "amv-mpjrtxej6hye",
"version": "***",
"sourceType": "PlatformPreset",
"framework": "Pytorch",
"algorithm": "opensource-***",
"modelNet": "pytorch-***",
"trainType": "",
"description": "支持对话的chat版本"
},
{
"modelVersionId": 620,
"modelVersionIdStr": "amv-ffff66e1fm3d",
"version": "***",
"sourceType": "PlatformPreset",
"framework": "Pytorch",
"algorithm": "opensource-***",
"modelNet": "pytorch-***",
"trainType": "",
"description": "初始预训练版本"
}
]
}
]
}{
"log_id": "2347238209",
"result": [
{
"modelId": 8,
"modelIdStr": "am-ay2k0r83q9qr",
"modelName": "ERNIE-***",
"source": "PlatformPreset",
"modelType": 0,
"trainType": "ernieBotLite",
"modelVersionList": [
{
"modelVersionId": 600,
"modelVersionIdStr": "amv-nsjesf9kasjt",
"version": "ERNIE-***",
"sourceType": "PlatformPreset",
"framework": "paddle",
"algorithm": "ERNIE_***",
"modelNet": "paddlepaddle-***",
"trainType": "ernie***",
"description": "通过数据和策略迭代，提升模型生成效果。"
},
{
"modelVersionId": 492,
"modelVersionIdStr": "amv-4u0rw8juur1p",
"version": "ERNIE-***",
"sourceType": "PlatformPreset",
"framework": "paddle",
"algorithm": "ERNIE_***",
"modelNet": "paddlepaddle-***",
"trainType": "ernie***",
"description": "支持7K输入+1K输出，支持系统设置，新增推理参数"
},
{
"modelVersionId": 244,
"modelVersionIdStr": "amv-70ahikpspjqs",
"version": "ERNIE-***",
"sourceType": "PlatformPreset",
"framework": "paddle",
"algorithm": "ERNIE_***",
"modelNet": "paddlepaddle-***",
"trainType": "ernie***",
"description": "优化推理效果，修复部分问题"
}
]
},
{
"modelId": 446,
"modelIdStr": "am-44f8ji8eegp0",
"modelName": "Y***",
"source": "PlatformPreset",
"modelType": 0,
"trainType": "",
"modelVersionList": [
{
"modelVersionId": 635,
"modelVersionIdStr": "amv-mpjrtxej6hye",
"version": "Y***",
"sourceType": "PlatformPreset",
"framework": "Pytorch",
"algorithm": "opensource-yi-34b",
"modelNet": "pytorch-***",
"trainType": "",
"description": "支持对话的chat版本"
},
{
"modelVersionId": 620,
"modelVersionIdStr": "amv-ffff66e1fm3d",
"version": "***",
"sourceType": "PlatformPreset",
"framework": "Pytorch",
"algorithm": "opensource-***",
"modelNet": "pytorch-***",
"trainType": "",
"description": "初始预训练版本"
}
]
}
]
}{
"log_id": "2347238209",
"result": [
{
"modelId": 8,
"modelIdStr": "am-ay2k0r83q9qr",
"modelName": "ERNIE-***",
"source": "PlatformPreset",
"modelType": 0,
"trainType": "ernie***",
"modelVersionList": [
{
"modelVersionId": 600,
"modelVersionIdStr": "amv-nsjesf9kasjt",
"version": "ERNIE-***",
"sourceType": "PlatformPreset",
"framework": "paddle",
"algorithm": "ERNIE_***",
"modelNet": "paddlepaddle-***",
"trainType": "ernie***",
"description": "通过数据和策略迭代，提升模型生成效果。"
},
{
"modelVersionId": 492,
"modelVersionIdStr": "amv-4u0rw8juur1p",
"version": "ERNIE-***",
"sourceType": "PlatformPreset",
"framework": "paddle",
"algorithm": "ERNIE_***",
"modelNet": "paddlepaddle-***",
"trainType": "ernie***",
"description": "支持7K输入+1K输出，支持系统设置，新增推理参数"
},
{
"modelVersionId": 244,
"modelVersionIdStr": "amv-70ahikpspjqs",
"version": "ERNIE-***",
"sourceType": "PlatformPreset",
"framework": "paddle",
"algorithm": "ERNIE_***",
"modelNet": "paddlepaddle-***",
"trainType": "ernie***",
"description": "优化推理效果，修复部分问题"
}
]
},
{
"modelId": 446,
"modelIdStr": "am-44f8ji8eegp0",
"modelName": "Y***",
"source": "PlatformPreset",
"modelType": 0,
"trainType": "",
"modelVersionList": [
{
"modelVersionId": 635,
"modelVersionIdStr": "amv-mpjrtxej6hye",
"version": "Y***",
"sourceType": "PlatformPreset",
"framework": "Pytorch",
"algorithm": "opensource-***",
"modelNet": "pytorch-***",
"trainType": "",
"description": "支持对话的chat版本"
},
{
"modelVersionId": 620,
"modelVersionIdStr": "amv-ffff66e1fm3d",
"version": "Y***",
"sourceType": "PlatformPreset",
"framework": "Pytorch",
"algorithm": "opensource-***",
"modelNet": "pytorch-***",
"trainType": "",
"description": "初始预训练版本"
}
]
}
]
}{
log_id: '2347238209',
result: [
{
modelId: 8,
modelIdStr: 'am-ay2k0r83q9qr',
modelName: 'ERNIE-***',
source: 'PlatformPreset',
modelType: 0,
trainType: 'ernie***',
modelVersionList: [
{
modelVersionId: 600,
modelVersionIdStr: 'amv-nsjesf9kasjt',
version: 'ERNIE-***',
sourceType: 'PlatformPreset',
framework: 'paddle',
algorithm: 'ERNIE_***',
modelNet: 'paddlepaddle-***',
trainType: 'ernie***',
description: '通过数据和策略迭代，提升模型生成效果。'
},
{
modelVersionId: 492,
modelVersionIdStr: 'amv-4u0rw8juur1p',
version: 'ERNIE-***',
sourceType: 'PlatformPreset',
framework: 'paddle',
algorithm: 'ERNIE_***',
modelNet: 'paddlepaddle-***',
trainType: 'ernie***',
description: '支持7K输入+1K输出，支持系统设置，新增推理参数'
},
{
modelVersionId: 244,
modelVersionIdStr: 'amv-70ahikpspjqs',
version: 'ERNIE-***',
sourceType: 'PlatformPreset',
framework: 'paddle',
algorithm: 'ERNIE_***',
modelNet: 'paddlepaddle-***',
trainType: 'ernie***',
description: '优化推理效果，修复部分问题'
}
]
},
{
modelId: 446,
modelIdStr: 'am-44f8ji8eegp0',
modelName: 'Y***',
source: 'PlatformPreset',
modelType: 0,
trainType: '',
modelVersionList: [
{
modelVersionId: 635,
modelVersionIdStr: 'amv-mpjrtxej6hye',
version: 'Y***',
sourceType: 'PlatformPreset',
framework: 'Pytorch',
algorithm: 'opensource-***',
modelNet: 'pytorch-***',
trainType: '',
description: '支持对话的chat版本'
},
{
modelVersionId: 620,
modelVersionIdStr: 'amv-ffff66e1fm3d',
version: 'Y***',
sourceType: 'PlatformPreset',
framework: 'Pytorch',
algorithm: 'opensource-***',
modelNet: 'pytorch-***',
trainType: '',
description: '初始预训练版本'
}
]
}
]
}请求参数
无
返回参数
| 名称 | 类型 | 描述 |
|---|---|---|
| log_id | int | 请求ID |
| result | List<object> | 请求结果 |
result说明
| 名称 | 类型 | 描述 |
|---|---|---|
| modelId | number | 模型ID，注意：该字段后续可能废弃，如需使用模型ID，请使用modelIdStr |
| modelIdStr | string | 模型ID，string类型 |
| modelName | string | 模型名称 |
| source | string | 模型来源，说明： · 用户模型 · 预置模型 |
| modelType | number | 模型类型 |
| tags | List<string> | 标签列表 |
| modelVersionList | List<object> | 模型版本列表 |
modelVersionList说明
| 名称 | 类型 | 描述 |
|---|---|---|
| modelVersionId | number | 模型版本ID，注意：该字段后续可能废弃，如需使用模型版本ID，请使用modelVersionIdStr |
| modelVersionIdStr | string | 模型版本ID，string类型 |
| version | string | 版本号 |
| sourceType | string | 来源-训练/预置/加速 |
| framework | string | 框架 |
| algorithm | string | 算法 |
| modelNet | string | 网络 |
| description | string | 描述 |