HuggingFace模型下载器,从HuggingFace网站下载模型/数据集的实用工具,提供了多线程下载LFS文件的能力,并通过检查SHA256校验和确保已下载模型的完整性】'HuggingFace Model Downloader - Simple go utility to download HuggingFace Models and Datasets' bodaay GitHub: github.com/bodaay/HuggingFaceModelDownloader #开源# ...
Simple go utility to download HuggingFace Models and Datasets - HuggingFaceModelDownloader/main.go at master · bodaay/HuggingFaceModelDownloader
declare-a urlsforfilein$files;dourl="$HF_ENDPOINT/$MODEL_ID/resolve/main/$file"file_dir=$(dirname"$file")mkdir-p"$file_dir"if[["$TOOL"=="wget"]];thendownload_cmd="wget -c \"$url\" -O \"$file\""[[-n"$HF_TOKEN"]] && download_cmd="wget --header=\"Authorization: Bearer ...
trap 'printf "\nDownload interrupted. If you re-run the command, you can resume the download from the breakpoint.\n"; exit 1' INT display_help() { cat << EOF Usage: hfd <model_id> [--exclude exclude_pattern] [--hf_username username] [--hf_token token] [--tool wget|aria2c] ...
先拉库 gitlfsinstallGIT_LFS_SKIP_SMUDGE=1gitclonehttps://huggingface.co/model git前面的参数是设置跳过大文件 cdmodelgitlfspull--include="*.bin" 只下载关于pytorch的模型文件 这里huggingface会出现下面的问题 cannotwritedatatotemporaryfile...i/otimeout 这里还...
huggingface托管的大模型文件较大,用git拉取需要LFS支持,速度比较慢,也容易断线,需要不断尝试,费时费力。 某些模型可以使用镜像网站 https://aliendao.cn 下载,逐个文件下载比较麻烦,如果有python环境,建议用下载器model_download.py下载,下载速度能达到20M/s, ...
To download models from 🤗Hugging Face, you can use the official CLI tool huggingface-cli or the Python method snapshot_download from the huggingface_hub library. Using huggingface-cli: To download the "bert-base-uncased" model, simply run: $ huggingface-cli download bert-base-uncased Using...
然而如果你用的huggingface-cli download gpt2 --local-dir /data/gpt2下载,即使你把模型存储到了自己指定的目录,但是你仍然可以简单的用模型的名字来引用他。即: AutoModelForCausalLM.from_pretrained("gpt2") 原理是因为huggingface工具链会在.cache/huggingface/下维护一份模型的符号链接,无论你是否指定了模型的...
I can see the first 3 safetensors download successfully, and then it just hangs. Status: Downloaded newer image for ghcr.io/huggingface/text-generation-inference:1.1.0 2023-10-22T13:01:16.673958Z INFO text_generation_launcher: Args { model_id: "HuggingFaceH4/zephyr-7b-alpha", revision: ...
tokenizer = GPT2Tokenizer.from_pretrained(model_path) # 加载模型 model = GPT2LMHeadModel.from_pretrained(model_path) # 定义输入文本 input_text = "Once upon a time, in a land far, far away, there was a kingdom full of" # 编码输入文本 ...