社保卡识别 - 文字识别OCR
access_token headers = { 'content-type' : 'application/x-www-form-urlencoded' } response = requests . post ( request_url , data = params , headers = headers ) if response : print ( response . json ( ) ) package
图像去噪 - 图像增强与特效 | 百度智能云文档
token ; $img = file_get_contents ( '[本地文件路径]' ) ; $img = base64_encode ( $img ) ; $bodys = array ( 'image' = > $img , 'option' = > 0 ) ; $res = request_post ( $url , $bodys ) ; var_dump ( $res ) ; package
人像动漫化 - 图像增强与特效 | 百度智能云文档
token ; $img = file_get_contents ( '[本地文件路径]' ) ; $img = base64_encode ( $img ) ; $bodys = array ( 'image' = > $img ) ; $res = request_post ( $url , $bodys ) ; var_dump ( $res ) ; package com . baidu
查询服务调用情况 - ModelBuilder
V2 . service_metric ( 2024-05-06T08:23:49Z , 2024-05-17T08:23:49Z , [ svco-ktth9mkb5cqn ] ) print ( resp . body ) package main import ( context fmt os github.com/baidubce/bce-qianfan-sdk/go
通过程序代码连接MongoDB实例 - 云数据库 DocDB for MongoDB | 百度智能云文档
package main import ( "fmt" "log" "time" "gopkg.in/mgo.v2" "gopkg.in/mgo.v2/bson" ) type Person struct { Name string Phone string } func main() { fmt.Println
GPT-NeoX-20B - ModelBuilder
Completion ( ) # 使用自行发布的模型 resp = comp . do ( endpoint = your_custom_endpoint , prompt = Introduce the city Beijing ) # 可以通过resp[ body ]获取接口返回的内容 print ( resp [ body ] ) package main import ( context
GPT-J-6B - ModelBuilder
Completion ( ) # 使用自行发布的模型 resp = comp . do ( endpoint = your_custom_endpoint , prompt = Introduce the city Beijing ) # 可以通过resp[ body ]获取接口返回的内容 print ( resp [ body ] ) package main import ( context
Yi-34B - ModelBuilder
Completion ( ) # 使用自行发布的模型 resp = comp . do ( endpoint = your_custom_endpoint , prompt = Introduce the city Beijing ) # 可以通过resp[ body ]获取接口返回的内容 print ( resp [ body ] ) package main import ( context
GPT4All-J - ModelBuilder
Completion ( ) # 使用自行发布的模型 resp = comp . do ( endpoint = your_custom_endpoint , prompt = Introduce the city Beijing ) # 可以通过resp[ body ]获取接口返回的内容 print ( resp [ body ] ) package main import ( context
Pythia-12B - ModelBuilder
Completion ( ) # 使用自行发布的模型 resp = comp . do ( endpoint = your_custom_endpoint , prompt = Introduce the city Beijing ) # 可以通过resp[ body ]获取接口返回的内容 print ( resp [ body ] ) package main import ( context
