huggingface-cli是抱抱脸官方推荐的下载方式之一,但是我原来一直没有用过。这里简单介绍一下该命令的用法(还是挺方便的)。 服务器运行huggingface-cli download --helps可以看到参数详解: usage: huggingface-cli [<args>] download [-h] [--repo-type {model,dataset,space}] [--revision...
hf的模型下载工具: download-files-from-the-hub huggingface-cli 隶属于 huggingface_hub 库,不仅可以下载模型、数据,还可以可以登录huggingface、上传模型、数据等huggingface-cli 属于官方工具,其长期支持肯定是最好的。优先推荐!安装依赖 1 pip install -U huggingface_hub 注意:huggingface_hub 依赖于 Python>=3.8...
In general the focus ofhuggingface_hubhas been on the python features more than the CLI itself (and that's why it is so tiny at the moment). The CLI interface you are proposing would definitely be a wrapper aroundhf_hub_downloadas you mentioned. The question on our side is more to kno...
huggingface-cli download --resume-download --local-dir-use-symlinks False bigscience/bloom-560m --local-dir bloom-560m # 下载需要授权的模型 huggingface-cli download --token hf_*** --resume-download --local-dir-use-symlinks False meta-llama/Llama-2-7b-hf --local-dir Llama-2-7b-hf 2.2...
$ huggingface-cli download --repo-type [repo_type] [repo_id] [filename1 filename2 ...] Upload an entire folder or a file to Hugging Face $ huggingface-cli upload --repo-type [repo_type] [repo_id] [path/to/local_file_or_directory] [path/to/repo_file_or_directory] ...
解决方法: importos os.environ["HF_ENDPOINT"] ="https://hf-mirror.com" !huggingface-cli download time-series-foundation-models/Lag-Llama lag-llama.ckpt --local-dir content/lag-llama 或者是在命令行加入 HF_ENDPOINT=https://hf-mirror.com python xxx.py...
开启后使用方法同huggingface-cli：huggingface-cli download --resume-download bigscience/bloom-560m --...
Example to download the modelhttps://huggingface.co/xai-org/grok-1(script code from the same repo) usingHuggingFace CLI: git clone https://github.com/xai-org/grok-1.git && cd grok-1 pip install huggingface_hub[hf_transfer] huggingface-cli download xai-org/grok-1 --repo-type model --...
When I'm trying to download the weights from huggingface huggingface-cli download xai-org/grok-1 --repo-type model --include ckpt-0/* --local-dir checkpoints --local-dir-use-symlinks False I'm getting error no matches found: ckpt-0/*
os.system('huggingface-cli download --resume-download sentence-transformers/paraphrase-multilingual-MiniLM-L12-v2 --local-dir /root/data/model/sentence-transformer') 然后,在/root/data目录下执行该脚本即可自动开始下载: python download_hf.py 更多关于镜像使用可以移步至HF Mirror查看。