查看可评估模型列表
更新时间:2024-11-08
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.resources import Model
# 使用安全认证AK/SK鉴权,通过环境变量方式初始化;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.environ["QIANFAN_ACCESS_KEY"] = "your_iam_ak"
os.environ["QIANFAN_SECRET_KEY"] = "your_iam_sk"
# 只展示前3个
resp = Model.evaluable_model_list()
resp['body']['result'] = resp['body']['result'][:3]
print(resp)
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;对应本文HTTP调用-请求说明-请求地址的后缀
"/wenxinworkshop/modelrepo/eval/model/list", "",
// 对应本文HTTP调用-请求说明-请求参数-Body参数,具体使用请查看Body参数说明,根据实际使用选择参数
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;对应本文HTTP调用-请求说明-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()
// 对应本文HTTP调用-请求说明-请求参数-Body参数,具体使用请查看Body参数说明,根据实际使用选择参数
.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;对应本文HTTP调用-请求说明-请求地址的后缀
//data:对应本文HTTP调用-请求说明-请求参数-Body参数,具体使用请查看Body参数说明,根据实际使用选择参数
const res = await consoleAction({base_api_route: '/wenxinworkshop/modelrepo/eval/model/list', data: { }
});
console.log(res);
}
main();
返回示例
QfResponse(code = 200, headers = {...},
body = {
'log_id': '2770150762',
'result': [{
'modelId': 11852,
'modelIdStr': 'am-bg7n2rn2gsbb',
'modelName': 'ERNIE Speed',
'source': 'PlatformPreset',
'modelType': 0,
'trainType': 'ernieBotLite-Speed',
'modelVersionList': [{
'modelVersionId': 14691,
'modelVersionIdStr': 'amv-pzqtzdspm77m',
'version': 'ERNIE-Speed-8K',
'sourceType': 'PlatformPreset',
'framework': 'paddle',
'algorithm': 'ERNIE_EB-ERNIEBOT_SPEED',
'modelNet': 'paddlepaddle-ERNIE_EB-ERNIEBOT_SPEED',
'trainType': 'ernieBotLite-Speed',
'description': '2024年2月5日发布的初始版本,支持8K上下文长度'
}]
}, {
'modelId': 2,
'modelIdStr': 'am-ju3hi4ts39u9',
'modelName': 'ERNIE Lite',
'source': 'PlatformPreset',
'modelType': 0,
'trainType': 'ernieBotLite',
'modelVersionList': [{
'modelVersionId': 19879,
'modelVersionIdStr': 'amv-irrrsmxabb6r',
'version': 'ERNIE-Lite-8K-0308',
'sourceType': 'PlatformPreset',
'framework': 'paddle',
'algorithm': 'ERNIE_EB-ERNIEBOT_LITE_8K',
'modelNet': 'paddlepaddle-ERNIE_EB-ERNIEBOT_LITE_8K',
'trainType': 'ernieBotLite',
'description': '2024年3月8日发布版本,优化模型效果,支持8K上下文长度'
}, {
'modelVersionId': 11998,
'modelVersionIdStr': 'amv-1r61myc9c9gb',
'version': 'ERNIE-Lite-8K-0922',
'sourceType': 'PlatformPreset',
'framework': 'paddle',
'algorithm': 'ERNIE_EB-ERNIEBOT_V202_FUSE',
'modelNet': 'paddlepaddle-ERNIE_EB-ERNIEBOT_V202_LORA_FUSE',
'trainType': 'ernieBotLite',
'description': '2023年9月22日发布版本,提升模型创作生成效果,支持8K上下文长度'
}, {
'modelVersionId': 7170,
'modelVersionIdStr': 'amv-qb8ijukaish3',
'version': 'ERNIE-Lite-8K-0725',
'sourceType': 'PlatformPreset',
'framework': 'paddle',
'algorithm': 'ERNIE_EB-ERNIEBOT_V201_8K',
'modelNet': 'paddlepaddle-ERNIE_EB-ERNIEBOT_V201_8K',
'trainType': 'ernieBotLite',
'description': '2023年7月25日发布版本,新增推理超参数,提升上下文窗口长度至8K'
}, {
'modelVersionId': 2896,
'modelVersionIdStr': 'amv-1s3mugx4nscj',
'version': 'ERNIE-Lite-4K-0704',
'sourceType': 'PlatformPreset',
'framework': 'paddle',
'algorithm': 'ERNIE_EB-ERNIEBOT_V200',
'modelNet': 'paddlepaddle-ERNIE_EB-ERNIEBOT_V200',
'trainType': 'ernieBotLite',
'description': '2023年7月4日发布版本,优化推理效果,修复部分问题,支持4K上下文长度'
}]
}, {
'modelId': 16052,
'modelIdStr': 'am-xgk30z76e4gs',
'modelName': 'ERNIE Tiny',
'source': 'PlatformPreset',
'modelType': 0,
'trainType': 'ernieBotTiny-8k',
'modelVersionList': [{
'modelVersionId': 19868,
'modelVersionIdStr': 'amv-sb5kfqie51z1',
'version': 'ERNIE-Tiny-8K',
'sourceType': 'PlatformPreset',
'framework': 'paddle',
'algorithm': 'ERNIE_EB-ERNIEBOT_TINY',
'modelNet': 'paddlepaddle-ERNIE_EB-ERNIEBOT_TINY',
'trainType': 'ernieBotTiny-8k',
'description': '2024年3月8日发布的初始版本,支持8K上下文长度'
}]
}]
}
)
{
"log_id": "2347238209",
"result": [
{
"modelId": 8,
"modelIdStr": "am-ay2k0r83q9qr",
"modelName": "ERNIE-Bot-turbo",
"source": "PlatformPreset",
"modelType": 0,
"trainType": "ernieBotLite",
"modelVersionList": [
{
"modelVersionId": 600,
"modelVersionIdStr": "amv-nsjesf9kasjt",
"version": "ERNIE-Bot-turbo-0922",
"sourceType": "PlatformPreset",
"framework": "paddle",
"algorithm": "ERNIE_EB-ERNIEBOT_V202_FUSE",
"modelNet": "paddlepaddle-ERNIE_EB-ERNIEBOT_V202_LORA_FUSE",
"trainType": "ernieBotLite",
"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-Bot-turbo-0725",
"sourceType": "PlatformPreset",
"framework": "paddle",
"algorithm": "ERNIE_EB-ERNIEBOT_V201_8K",
"modelNet": "paddlepaddle-ERNIE_EB-ERNIEBOT_V201_8K",
"trainType": "ernieBotLite",
"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-Bot-turbo-0704",
"sourceType": "PlatformPreset",
"framework": "paddle",
"algorithm": "ERNIE_EB-ERNIEBOT_V200",
"modelNet": "paddlepaddle-ERNIE_EB-ERNIEBOT_V200",
"trainType": "ernieBotLite",
"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": "Yi-34B-Chat",
"sourceType": "PlatformPreset",
"framework": "Pytorch",
"algorithm": "opensource-yi-34b",
"modelNet": "pytorch-yi-34b-chat-1.13.1",
"trainType": "",
"description": "支持对话的chat版本"
},
{
"modelVersionId": 620,
"modelVersionIdStr": "amv-ffff66e1fm3d",
"version": "Yi-34B",
"sourceType": "PlatformPreset",
"framework": "Pytorch",
"algorithm": "opensource-yi-34b",
"modelNet": "pytorch-yi-34b-1.13.1",
"trainType": "",
"description": "初始预训练版本"
}
]
}
]
}
{
"log_id": "2347238209",
"result": [
{
"modelId": 8,
"modelIdStr": "am-ay2k0r83q9qr",
"modelName": "ERNIE-Bot-turbo",
"source": "PlatformPreset",
"modelType": 0,
"trainType": "ernieBotLite",
"modelVersionList": [
{
"modelVersionId": 600,
"modelVersionIdStr": "amv-nsjesf9kasjt",
"version": "ERNIE-Bot-turbo-0922",
"sourceType": "PlatformPreset",
"framework": "paddle",
"algorithm": "ERNIE_EB-ERNIEBOT_V202_FUSE",
"modelNet": "paddlepaddle-ERNIE_EB-ERNIEBOT_V202_LORA_FUSE",
"trainType": "ernieBotLite",
"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-Bot-turbo-0725",
"sourceType": "PlatformPreset",
"framework": "paddle",
"algorithm": "ERNIE_EB-ERNIEBOT_V201_8K",
"modelNet": "paddlepaddle-ERNIE_EB-ERNIEBOT_V201_8K",
"trainType": "ernieBotLite",
"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-Bot-turbo-0704",
"sourceType": "PlatformPreset",
"framework": "paddle",
"algorithm": "ERNIE_EB-ERNIEBOT_V200",
"modelNet": "paddlepaddle-ERNIE_EB-ERNIEBOT_V200",
"trainType": "ernieBotLite",
"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": "Yi-34B-Chat",
"sourceType": "PlatformPreset",
"framework": "Pytorch",
"algorithm": "opensource-yi-34b",
"modelNet": "pytorch-yi-34b-chat-1.13.1",
"trainType": "",
"description": "支持对话的chat版本"
},
{
"modelVersionId": 620,
"modelVersionIdStr": "amv-ffff66e1fm3d",
"version": "Yi-34B",
"sourceType": "PlatformPreset",
"framework": "Pytorch",
"algorithm": "opensource-yi-34b",
"modelNet": "pytorch-yi-34b-1.13.1",
"trainType": "",
"description": "初始预训练版本"
}
]
}
]
}
{
log_id: '2347238209',
result: [
{
modelId: 8,
modelIdStr: 'am-ay2k0r83q9qr',
modelName: 'ERNIE-Bot-turbo',
source: 'PlatformPreset',
modelType: 0,
trainType: 'ernieBotLite',
modelVersionList: [
{
modelVersionId: 600,
modelVersionIdStr: 'amv-nsjesf9kasjt',
version: 'ERNIE-Bot-turbo-0922',
sourceType: 'PlatformPreset',
framework: 'paddle',
algorithm: 'ERNIE_EB-ERNIEBOT_V202_FUSE',
modelNet: 'paddlepaddle-ERNIE_EB-ERNIEBOT_V202_LORA_FUSE',
trainType: 'ernieBotLite',
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-Bot-turbo-0725',
sourceType: 'PlatformPreset',
framework: 'paddle',
algorithm: 'ERNIE_EB-ERNIEBOT_V201_8K',
modelNet: 'paddlepaddle-ERNIE_EB-ERNIEBOT_V201_8K',
trainType: 'ernieBotLite',
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-Bot-turbo-0704',
sourceType: 'PlatformPreset',
framework: 'paddle',
algorithm: 'ERNIE_EB-ERNIEBOT_V200',
modelNet: 'paddlepaddle-ERNIE_EB-ERNIEBOT_V200',
trainType: 'ernieBotLite',
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: 'Yi-34B-Chat',
sourceType: 'PlatformPreset',
framework: 'Pytorch',
algorithm: 'opensource-yi-34b',
modelNet: 'pytorch-yi-34b-chat-1.13.1',
trainType: '',
description: '支持对话的chat版本'
},
{
modelVersionId: 620,
modelVersionIdStr: 'amv-ffff66e1fm3d',
version: 'Yi-34B',
sourceType: 'PlatformPreset',
framework: 'Pytorch',
algorithm: 'opensource-yi-34b',
modelNet: 'pytorch-yi-34b-1.13.1',
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 | 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 | string[] | 标签列表 |
modelVersionList | 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 |