步骤3:调用huggingface_hub下载ChatGLM-6B模型到指定本地路径 from huggingface_hub import snapshot_download snapshot_download(repo_id="THUDM/chatglm-6b", local_dir="./chatglm-6b/") 步骤4:查看下载模型的文件目录 或通过镜像下载:GitHub - git-cloner/aliendao: huggingface mirror download...
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...
1.pycharm里面确定安装了huggingface_hub 如下: 2.修改constants.py文件 D:\python-3.10.11\Lib\site-packages\huggingface_hub\constants.py ##ENDPOINT = os.getenv("HF_ENDPOINT") or (_HF_DEFAULT_STAGING_ENDPOINT if _staging_mode else _HF_DEFAULT_ENDPOINT) ##注释掉该行 ENDPOINT ="https://hf-mi...
使用 下载模型 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. 参...
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 ...
主要是一个简单记录,方便后续使用 安装 pipinstall-Uhuggingface_hub 使用 下载模型 huggingface-clidownload--resume-downloadgpt2--local-dirgpt2 下载数据 huggingface-clidownload--repo-typedataset--resume-downloadwikitext--local-dirwikitext 默认cache 位置 ...
huggingface_hub.utils._errors.LocalEntryNotFoundError: An error happened while trying to locate the file on the Hub and we cannot find the requested files in the local cache. Please check your connection and try again or make sure your Internet connection is on. ...
Mirror traffic helps you to test new versions of models on production traffic without releasing them production environments. Splitting traffic lets you gradually increase production traffic to new model versions while observing performance. Auto scale lets you dynamically ramp up or ramp down resources ...
export HF_ENDPOINT=https://hf-mirror.com export HF_HUB_ENABLE_HF_TRANSFER=0 下载模型 #样例1huggingface-cli download --resume-download --local-dir-use-symlinks False bigscience/bloom-560m --local-dir bloom-560m#样例2huggingface-cli download --token hf_*** --resume-download --local-dir-...
set(portaudio_URL2 "https://hf-mirror.com/csukuangfj/sherpa-onnx-cmake-deps/resolve/main/pa_stable_v190700_20210406.tgz") set(portaudio_HASH "SHA256=47efbf42c77c19a05d22e627d42873e991ec0c1357219c0d74ce6a2948cb2def") # If you don't have access to the Internet, please download it ...