usage: huggingface-cli [<args>] download [-h] [--repo-type {model,dataset,space}] [--revision REVISION] [--include [INCLUDE ...]] [--exclude [EXCLUDE ...]] [--cache-dir CACHE_DIR] [--local-dir LOCAL_DIR] [--local-dir-use-symlinks {auto,True,False}] [--force-download] [...
Downloads a model or dataset from Hugging Face using the provided model ID. Parameters: model_id The Hugging Face model ID in the format 'repo/model_name'. --exclude (Optional) Flag to specify a string pattern to exclude files from downloading. ...
hf_hub_download returns the local path where the model was downloaded so you could hook this one liner with another shell command. python3 -c 'from huggingface_hub import hf_hub_download; downloaded_model_path = hf_hub_download( repo_id="CompVis/stable-diffusion-v-1-4-original", filename...
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...
cache_dir='/home/{username}/huggingface')# Set `torch_dtype=torch.float16` to load model in ...
bash :export HF_HOME=/data/model_cache When I did not set the environment variable and downloaded the model to the root directory, I saw a progress bar indicating the download and installation process, and the used storage space increased as expected. After setting this variable...
方法2:import transformers as ppb model = ppb.BertForSequenceClassification.from_pretrained('bert-...
keywords: HuggingFace, model, GitHub Actions, Docker, Docker Hub, huggingface_hub, StarCoder https://www.itdog.cn/http/ 无法直接从HuggingFace下载模型时,可借助此仓库,使用GitHub Actions构建一个 Docker 镜像,在镜像中用huggingface_hub下载好所需模型,再将镜像推送至Docker Hub,最后以下载镜像方式曲线下载模...
snapshot_download( repo_type = "dataset", # 'model', 'dataset', 'external_dataset', 'external_metric', 'external_tool', 'external_library' repo_id="Hello-SimpleAI/HC3-Chinese",#huggingface网站上项目目录 local_dir="./HC3-Chinese",#缓存文件默认保存在系统盘\.cache\huggingface\hub\Hello-Simp...
to be able to download a model; I was pretty surprised to find out it couldn't do it, and it felt like a weird oversight not to be included. This lead to me having to go down a google rabbithole trying to find alternative ways to get to my end solution, seemingly ending up with...