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Home Page: https://aliendao.cn
License: MIT License
huggingface mirror download
Home Page: https://aliendao.cn
License: MIT License
load_dataset('HuggingFaceFW/fineweb-edu', name='sample-10BT', split='train')
python model_download.py --repo_id stabilityai/stable-diffusion-xl-base-1.0 --mirror
报错
requests.exceptions.SSLError: HTTPSConnectionPool(host='e.aliendao.cn', port=443): Max retries exceeded with url: /models/stabilityai/stable-diffusion-xl-base-1.0?json=true (Caused by SSLError(SSLError(1, '[SSL: WRONG_VERSION_NUMBER] wrong version number (_ssl.c:1131)')))
尝试model_download.pyli 151行增加proxy不行
尝试把model_download.pyli 150行替换https为http也不行
因为下载速度原因,想节省点时间,所以希望能增加单独下载文件的功能,当只需要模型中的单个文件时候,可以单独下载,谢谢
如题( hf实在连不上了x
当下载tiiuae/falcon-180B-chat模型时,执行命令后提示需要登录认证,要如何解决?
$ python model_download.py --repo_id tiiuae/falcon-180B-chat --mirror
2023-09-19 18:00:43 tiiuae/falcon-180B-chat mirror :500
2023-09-19 18:00:45 tiiuae/falcon-180B-chat success :401 Client Error. (Request ID: Root=1-6509714d-1ee4c4267f2bc5df0d916723;83665afb-3d62-414b-99cf-75a2865f6ac2)
Cannot access gated repo for url https://huggingface.co/api/models/tiiuae/falcon-180B-chat/revision/main.
Repo model tiiuae/falcon-180B-chat is gated. You must be authenticated to access it.
命令:
python model_download.py --repo_id SakuraLLM/Sakura-1B8-Qwen2beta-v0.9.1 --token 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
之前用的huggingface-cli download --resume-download xx --local-dir xx下载经常出现416错误,只好换这个,但这个报错提示:
(aliendao) G:\[Notes]\aliendao>python model_download.py --repo_id SakuraLLM/Sakura-1B8-Qwen2beta-v0.9.1 --token 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
2024-04-06 21:00:17 SakuraLLM/Sakura-1B8-Qwen2beta-v0.9.1 mirror :500
2024-04-06 21:00:17 SakuraLLM/Sakura-1B8-Qwen2beta-v0.9.1 download :下载资源发生了错误,请使用正确的token
(aliendao) G:\[Notes]\aliendao>
怎么破?
运行 python model_download.py --repo_id stabilityai/stable-video-diffusion-img2vid-xt 时发生以下错误,请教如何解决。谢谢!!
Traceback (most recent call last):
File "/home/ubuntu/aliendao/model_download.py", line 221, in
download_model_from_mirror(
File "/home/ubuntu/aliendao/model_download.py", line 199, in download_model_from_mirror
if _download_model_from_mirror(_repo_id, _repo_type, _token, _e):
File "/home/ubuntu/aliendao/model_download.py", line 193, in _download_model_from_mirror
if not _download_file_resumable(url, file_name, i, len(files)):
File "/home/ubuntu/aliendao/model_download.py", line 135, in _download_file_resumable
total_length = int(r.headers.get('content-length'))
TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
请求增加模型google/madlad400-3b-mt,Unbabel/TowerInstruct-7B-v0.2,facebook/seamless-m4t-large
请求增加bigcode/starcoderdata的镜像
请问为什么我下载的镜像文件都是0KB(所有文件都是0KB)
python model_download.py --mirror --repo_id baichuan-inc/Baichuan2-13B-Chat
这是我下载的模型
真垃圾
使用命令 python model_download.py --repo_id Qwen/Qwen-VL-Chat --mirror 时,报错TypeError: int() argument must be a string, a bytes-like object or a real number, not 'NoneType'
Hello,
我在使用过程中遇到了一个小问题,并想分享我找到的解决方案,希望能对其他使用者也有所帮助。
在使用 _download_file_resumable
函数下载文件时,如果服务器的响应中没有 content-length
头部,脚本会抛出 TypeError
。这是因为脚本试图将 None
转换为整数。
total_length = int(r.headers.get('content-length'))
我建议在尝试转换之前检查 content-length
是否存在。如果不存在,可以将 total_length
设置为 0 或 None
。以下是修改后的代码段:
total_length = r.headers.get('content-length')
if total_length is not None:
total_length = int(total_length)
else:
# 如果没有content-length头,可以选择跳过进度条或使用其他方法估计文件大小
total_length = 0 # 或者设置为None,根据您的需求调整
这个修改可以防止在缺少 content-length
头部时脚本崩溃,并允许下载继续进行。
希望这个建议对您有所帮助。再次感谢您的工作!
运行 python model_download.py --repo_id Xenova/nllb-200-distilled-600M
,出现这个错误该怎么办
Xenova/nllb-200-distilled-600M download :下载资源发生了错误,请使用正确的token
礼问一下确定实现断点续传了吗? 如果有的话 默认开启吗
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