执行pip install huggingface_hub[hf_transfer] 命令将安装 huggingface_hub 库,并包含 hf_transfer 可选依赖项。这个命令的目的是为了安装 huggingface_hub 的同时,启用高速文件传输功能。以下是对该命令的分点解释: 安装huggingface_hub 库: huggingface_hub 是Hugging Face 官方提供的 Python 客户端库,用于与 Huggin...
使用Hugging Face 官方提供的huggingface-cli命令行工具。安装依赖: pip install -U huggingface_hub 然后新建 python 文件,填入以下代码,运行即可。 import os # 下载模型 os.system('huggingface-cli download --resume-download internlm/internlm-chat-7b --local-dir your_path') resume-download:断点续下 loca...
hub.py", line 399, in cached_file resolved_file = hf_hub_download( File "D:\anaconda3\envs\transformers\lib\site-packages\huggingface_hub\utils\_validators.py", line 114, in _inner_fn return fn(*args, **kwargs) File "D:\anaconda3\envs\transformers\lib\site-packages\huggingface_hub\...
5. HuggingFace 镜像 原址常见错误:connectionerror: HTTPSConnectionPool(host='huggingface.co', port=443): Read timed out. 镜像地址https://hf-mirror.com 换源方法(对于一些国外的开源项目无需手动更改代码): pip install -U huggingface_hubexportHF_ENDPOINT=https://hf-mirror.com (更多有关HuggingFace模型...
接下来,请前往 https://huggingface.co/settings/tokens 创建具有写权限的访问令牌: 你可以使用命令行来通过此令牌登录 (huggingface-cli login) 或者运行以下单元来登录: from huggingface_hub import notebook_login notebook_login() 1. 2. 3. VBox(children=(HTML(value=' ...
pip install -U huggingface_hub huggingface-cli download bigscience/bloom-560m --local-dir bloom-560m huggingface-cli download --repo-type dataset lavita/medical-qa-shared-task-v1-toy 3. [snapshot] 支持筛选下载 https://huggingface.co/docs/hub/how-to-downstream ...
原来,升级transformers包时,在现有conda环境已经安装了huggingface-hub的情况下,pip还去下载huggingface-hub,是因为现有的huggingface-hub版本不是新版transformers包所需要的,因此pip才去联网下载合适版本的huggingface-hub。
xinference用docker安装时可以用-v </your/home/path>/.cache/huggingface:/root/.cache/huggingface改变huggingface模型的默认位置,但是用pip安装后设置 HF_HOME不管用,还是在XINFERENCE_HOM生成huggingface目录,模型下载到里面,如何将huggingface模型目录设置到指定位置?
.pip_install("huggingface_hub","transformers","torch","einops", ) .run_function(download_model) ) Notice the gpu parameter I put when runningpipcommand. Down the road I will need to build image for other services so I will need to figure out how tofakeorforceit to build in the right...
Collecting huggingface_hub (from -r requirements.txt (line 8)) Downloading mirrors.aliyun.com/pypi (311 kB) ━━━ 311.7/311.7 kB 16.0 MB/s eta 0:00:00Collecting transformers (from -r requirements.txt (line 9)) Downloading mirrors.aliyun.com/pypi (7.9 MB) ━━━ 7.9/7.9 MB 1.7 ...