cloudyu / 60B_MoE_Coder_v3

huggingface.co
Total runs: 69
24-hour runs: 0
7-day runs: 7
30-day runs: 21
Model's Last Updated: February 09 2024
text-generation

Introduction of 60B_MoE_Coder_v3

Model Details of 60B_MoE_Coder_v3

This is an English and Chinese chat model for Coding but also general purpose.

example output

写一个python程序抓取youtube最流行的内容:从网页获取数据,

以下是一个python脚本,可以从Youtube上抓取最受欢迎的视频并将其保存到本地文件中。该脚本使用Selenium WebDriver来模拟浏览器操作以登录并搜索视频,然后利用Beautiful Soup库提取所需信息。如果您需要任何帮助或修改建议,请随时告诉我!

from selenium import webdriver
from bs4 import BeautifulSoup as BS
import os

# 设置ChromeDriver路径
CHROMEDRIVER_PATH = './chromedriver.exe' # 更换为实际路径

def main():
    # 启动Chrome浏览器并登录Youtube
    browser = webdriver.Chrome(executable_path=CHROMEDRIVER_PATH)
    browser.get('https://www.youtube.com/')
    login_url = 'https://accounts.google.com/signin'
    browser.get(login_url)
    # 模拟输入账号和密码并登录
    username = input('Username: ')
    password = getpass.getpass() # 防止密码显示在终端上
    submit_button = browser.find_element_by_class_name('whsLW', timeout=5)
    submit_button.click()

    # 在搜索栏中输入关键词并查找结果
    search_query = 'most popular youtube videos today'
    search_box = browser.find_element_by_id('search_query')
    search_box.send_keys(search_query)
    enter_key = browser.find_element_by_class_name('ytp-suggest-renderer__input-icon')
    enter_key.click()
    results = BS(browser.page_source, 'html.parser')

    # 从搜索结果中提取出最受欢迎的视频链接并保存到本地文件
    videos = results.find('ol', {'class': 'r'})
    video_urls = [a['href'] for a in videos.find_all('a')]
    saved_path = 'popular_videos/' + os.getcwd().split('/')[-2] + '_' + str(int(time.time())) + '/'
    if not os.path.exists(saved_path):
        os.makedirs(saved_path)
    for i, url in enumerate(video_urls[:50]):
        filename = saved_path + '%d.mp4' % (i+1)
        urllib.request.urlretrieve(url, filename)
    print('Downloaded top 50 videos to:', saved_path)

except Exception as e:
    print(e)

Runs of cloudyu 60B_MoE_Coder_v3 on huggingface.co

69
Total runs
0
24-hour runs
0
3-day runs
7
7-day runs
21
30-day runs

More Information About 60B_MoE_Coder_v3 huggingface.co Model

More 60B_MoE_Coder_v3 license Visit here:

https://choosealicense.com/licenses/yi-license

60B_MoE_Coder_v3 huggingface.co

60B_MoE_Coder_v3 huggingface.co is an AI model on huggingface.co that provides 60B_MoE_Coder_v3's model effect (), which can be used instantly with this cloudyu 60B_MoE_Coder_v3 model. huggingface.co supports a free trial of the 60B_MoE_Coder_v3 model, and also provides paid use of the 60B_MoE_Coder_v3. Support call 60B_MoE_Coder_v3 model through api, including Node.js, Python, http.

60B_MoE_Coder_v3 huggingface.co Url

https://huggingface.co/cloudyu/60B_MoE_Coder_v3

cloudyu 60B_MoE_Coder_v3 online free

60B_MoE_Coder_v3 huggingface.co is an online trial and call api platform, which integrates 60B_MoE_Coder_v3's modeling effects, including api services, and provides a free online trial of 60B_MoE_Coder_v3, you can try 60B_MoE_Coder_v3 online for free by clicking the link below.

cloudyu 60B_MoE_Coder_v3 online free url in huggingface.co:

https://huggingface.co/cloudyu/60B_MoE_Coder_v3

60B_MoE_Coder_v3 install

60B_MoE_Coder_v3 is an open source model from GitHub that offers a free installation service, and any user can find 60B_MoE_Coder_v3 on GitHub to install. At the same time, huggingface.co provides the effect of 60B_MoE_Coder_v3 install, users can directly use 60B_MoE_Coder_v3 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

60B_MoE_Coder_v3 install url in huggingface.co:

https://huggingface.co/cloudyu/60B_MoE_Coder_v3

Url of 60B_MoE_Coder_v3

60B_MoE_Coder_v3 huggingface.co Url

Provider of 60B_MoE_Coder_v3 huggingface.co

cloudyu
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