并导入【huggingface_hub】 pip install huggingface_hub 如果C盘内存不充足,可以更换缓存地址,即添加系统变量 【HF_HUB_CACHE = ‘你自己设定的缓存地址’】 如: 第四步:在llama.app文件夹下,创建并运行【Hub_download.py】文件 结合第一步的相对地址填入参数【model_addr】中 创建Hub_download.py文件代码内容如...
local_path = hf_hub_download( repo_id=url["repo_id"], subfolder=url["subfolder"], filename=url["filename"], repo_type="model", cache_dir=tmp_dir, ) shutil.copy2(local_path, fname) return fname class ModelDownloadingError(Exception): pass def get_model_file(url, model_dir): r...
>>> import huggingface_hub >>> from huggingface_hub import hf_hub_download Traceback (most recent call last): File "<stdin>", line 1, in <module> ImportError: cannot import name 'hf_hub_download' from 'huggingface_hub' (/usr/local/anaconda3/envs/TEST_ENV/lib/python3.9/sit...
use hf_hub_download to download model files from huggingfaceCompare breezedeus released this 30 Jun 05:04 · 125 commits to master since this release v2.2.3.1 777ba68 Merge pull request #261 from breezedeus/dev fix: model download from huggingface...
HF_ENDPOINT=https://hf-mirror.com \ huggingface-cli download \ --repo-type dataset \ --force-download \ --resume-download \ --local-dir-use-symlinks False \ Skywork/SkyPile-150B \ --local-dir Skywork/SkyPile-150B download models HF_ENDPOINT=https://hf-mirror.com \ huggingface-cli ...
huggingface-cli download --resume-download gpt2 --local-dir gpt2 1. 下载数据 huggingface-cli download --repo-type dataset --resume-download wikitext --local-dir wikitext 1. 默认cache 位置 $HOME/.cache/huggingface/hub 1. 加速 export HF_ENDPOINT=https://hf-mirror.com ...
1. 首先下载 pip install -U huggingface_hub 2. export HF_ENDPOINT=https://hf-mirror.com (可以写入到~/.bashrc中,长久可用) 可以参考对应环境的下面这个路径: /path/to/env/site-packages/huggingface_hub/constants.py 对应的内容如下,如果环境中有HF_ENDPOINT的设定就会采用该设定作为前缀,即上面镜像的htt...
主要是一个简单记录,方便后续使用 安装 pip install -U huggingface_hub 使用 下载模型 huggingface-cli download --resume-download gpt2 --local-dir gpt2 下载数据 huggingface-cli downl
Utilities to interact with the Hugging Face hub. Latest version: 0.15.2, last published: 3 days ago. Start using @huggingface/hub in your project by running `npm i @huggingface/hub`. There are 16 other projects in the npm registry using @huggingface/hub.
Integration inside a library is super simple. We expose two functions,hf_hub_url()andcached_download(). hf_hub_url hf_hub_url()takes: a repo id (e.g. a model id likejulien-c/EsperBERTo-smalli.e. a user or organization name and a repo name, separated by/), ...