备份资料
import requests
import json
urls = [ "https://www.datalearner.com/ai-models/pretrained-models-v2", "https://www.datalearner.com/ai-models/pretrained-models-compare", "https://www.datalearner.com/blog/1051750235004060", "https://www.datalearner.com/blog/1051750218692940", "https://www.datalearner.com/blog/1051750127031933", "https://www.datalearner.com/blog/1051750139504732", "https://www.datalearner.com/blog/1051749571431460", "https://www.datalearner.com/blog/1051749603448636", "https://www.datalearner.com/blog/1051749390989035" ]
构造请求数据
data = {
"host": "www.datalearner.com",
"key": "b1510d9608b140a8af3e678bfcb6509f",
"keyLocation": "https://www.datalearner.com/b1510d9608b140a8af3e678bfcb6509f.txt",
"urlList": urls
}
将数据转换为JSON格式
json_data = json.dumps(data)
发送POST请求
response = requests.post(
'https://api.indexnow.org/IndexNow',
headers={'Content-Type': 'application/json; charset=utf-8'},
data=json_data
)
打印响应
print(response.status_code)
print(response.content.decode('utf-8'))
CREATE TABLE PRETRAINED_MODEL (
MODEL_ID bigint NOT NULL AUTO_INCREMENT,
MODEL_CODE varchar(100) NOT NULL,
MODEL_ABBR_NAME varchar(45) DEFAULT NULL,
MODEL_FULL_NAME varchar(255) DEFAULT NULL,
MODEL_DESCRIPTION text,
PUBLISH_TIME varchar(20) DEFAULT NULL,
PARAMETER_SIZE double DEFAULT NULL,
MODEL_URL varchar(300) DEFAULT NULL,
GITHUB_URL varchar(255) DEFAULT NULL,
HUGGINGFACE_URL varchar(255) DEFAULT NULL,
ONLINE_DEMO_URL varchar(200) DEFAULT NULL,
DATALEARNERAI_BLOG_NAME varchar(300) DEFAULT NULL,
DATALEARNERAI_BLOG_URL varchar(150) DEFAULT NULL,
MODEL_AFFILIATION_ID bigint DEFAULT NULL,
MODEL_AFFILIATION_NAME varchar(105) DEFAULT NULL,
PAPER_TITLE varchar(255) DEFAULT NULL,
PAPER_ARXIV_URL varchar(255) DEFAULT NULL,
MODEL_SIZE varchar(45) DEFAULT NULL,
MODEL_APPLICATION_TASKS varchar(500) DEFAULT NULL,
CODE_OPENSOURCE bigint DEFAULT NULL,
CK_OPENSOURCE bigint DEFAULT NULL,
PRACTICAL_GUIDE text,
COMMERCIAL_USE varchar(8) DEFAULT NULL,
CREATE_TIME datetime(3) DEFAULT NULL,
UPDATE_TIME datetime(3) DEFAULT NULL,
ADDED_BY varchar(45) DEFAULT NULL,
FOUNDATION_MODEL_ID bigint DEFAULT NULL,
AI_AREA_ID bigint DEFAULT NULL,
MODEL_TYPE_ID int DEFAULT NULL,
MODEL_TYPE_NAME varchar(50) DEFAULT NULL,
LANGUAGE_OPT int DEFAULT '0',
CONTEXT_LENGTH varchar(20) DEFAULT '2K',
MODEL_SCALE varchar(10) DEFAULT NULL,
CONTEXT_LENGTH_NAME varchar(10) DEFAULT NULL,
CONTEXT_LENGTH_VALUE int DEFAULT NULL,
REASONNING_LEVEL varchar(10) DEFAULT NULL,
INFERENCE_SPEED varchar(10) DEFAULT NULL,
API_PRICE varchar(45) DEFAULT NULL,
MAX_OUTPUT int DEFAULT NULL,
INPUT_FORMAT varchar(45) DEFAULT NULL,
OUTPUT_FORMAT varchar(45) DEFAULT NULL,
API_DETAILS varchar(520) DEFAULT NULL,
PRIMARY KEY (MODEL_ID),
UNIQUE KEY MODEL_CODE_UNIQUE (MODEL_CODE)
) ENGINE=InnoDB AUTO_INCREMENT=507 DEFAULT CHARSET=utf8mb4 COLLATE=utf8mb4_0900_ai_ci;
503 openai-o1-mini OpenAI o1-mini OpenAI o1-mini <p>OpenAI于2024年9月12日推出了o1-mini模型，这是一款专为STEM领域（科学、技术、工程和数学）设计的高性价比推理模型。作为o1-preview模型的经济高效替代方案，o1-mini在多个评估基准上表现出色。... 2024-09-12 OpenAI最新的推理大模型o1与GPT-4o有什么区别？o1一定比o1 mini更强吗？一文总结OpenAI对o1模型的官方答疑 https://www.datalearner.com/blog/1051726411663762 10 OpenAI OpenAI o1-mini https://openai.com/index/openai-o1-mini-advancing-cost-efficient-reasoning/ {"-21":{"areaID":"2","taskID":"-21"}} 4 4 4 2025-02-15 15:29:19.000 小木 -1 2 1008 推理大模型 1 2K 100b 128K 131072
488 DeepSeek-V3 DeepSeek-V3 DeepSeek-V3 <p><span style="color: rgb(33, 37, 41); background-color: rgb(255, 255, 255); font-size: 16px; font-family: 微软雅黑;">DeepSeek AI开源的大语言模型，是其开源的第三代大语言模型。DeepSeek V3是一个混合专家架构的... 2024-12-26 6810 https://github.com/deepseek-ai/DeepSeek-V3 https://huggingface.co/deepseek-ai/DeepSeek-V3 73 DeepSeek-AI Introducing DeepSeek-V3 https://api-docs.deepseek.com/news/news1226 687.9 GB {"-21":{"areaID":"2","taskID":"-21"}} 2 43 43 2024-12-27 08:27:45.000 小木 -1 2 1001 聊天大模型 1 2K 100b 128K 131072
https://www.datalearner.com/api/ai-resources/pretrained-models/gpt-4o
