模型权重下载方法_百炼大模型 下载权重文件

下载方法1：git lfs下载

1、在hf-mirror.com中搜索模型，如搜索text2vec-large-chinese， 点击模型进入页面：https://hf-mirror.com/GanymedeNil/text2vec-large-chinese/tree/main
2、git lfs install
3、git clone https://hf-mirror.com/GanymedeNil/text2vec-large-chinese

简化：直接 git clone https://hf-mirror.com/模型名， 如GanymedeNil/text2vec-large-chinese

下载方法2：手动下载

1、在hf-mirror.com中搜索模型，如搜索text2vec-large-chinese， 点击模型进入页面：https://hf-mirror.com/GanymedeNil/text2vec-large-chinese/tree/main
2、手动点击链接下载

通过代码自动下载：

import requests
from bs4 import BeautifulSoup
import re
 
def get_url_file(url):
    match = re.search(r'/([^ /]+)\?', url)
    if match:
        result = match.group(1)
        return result
    else:
        print("No match found.")
        return None
 
def download(model):
    url = f"https://hf-mirror.com/{model}/tree/main"
    response = requests.get(url)
 
    soup = BeautifulSoup(response.text, 'html.parser')
 
    download_links = soup.find_all('a', attrs={'title': 'Download file'})
    for link in download_links:
        url = 'http://hf-mirror.com' + link['href']
        file_name = get_url_file(url)
        if url and file_name:
            print('wget ' + url + ' -O ' + file_name)
 
model = 'google-bert/bert-large-cased'
while model:
    download(model)
    model = input("Input your model to download: ")

下载方法3：使用transformers的接口下载

import os
os.environ['HF_ENDPOINT'] = 'https://hf-mirror.com'
 
from huggingface_hub import snapshot_download
 
snapshot_download(repo_id="Qwen/Qwen1.5-32B",
local_dir_use_symlinks = False,
local_dir = "Qwen/Qwen1.5-32B",
proxies={"https": "http://x.x.x.x:8080"}
)