2、配置镜像 export HF_ENDPOINT=hf-mirror.com 3、下载模型到缓存 huggingface-cli download repo_id 4、下载模型到指定目录 huggingface-cli download repo_id --local-dir /path/to/model 5、扫描缓存 huggingface-cli scan-cache 6、清理缓存 hu
huggingface-cli upload licyk/test_model_1 D:\Downloads\BaiduNetdiskDownload\lora /model/lora 现在是对 licyk/test_model_1 这个模型仓库进行操作,但如果是对 licyk/test_dataset_1 这个数据集仓库进行操作,此时就需要指定仓库的类型(前面的 licyk/test_model_1 模型仓库不需要指定是因为 HuggingFace CLI 默...
push_to_hub("dummy-model", organization="huggingface", use_auth_token="<TOKEN>") 4.2 方式二:使用 python 的 huggingface_hub 包 # 常用的命令功能 from huggingface_hub import ( # User management login, logout, whoami, # Repository creation and management create_repo, delete_repo, update_repo...
delete-cache:删除缓存。 注意,download 命令并不在列出的选项中,这进一步证实了 download 可能不是一个有效的命令。 4. 如果download是期望的功能,寻找替代的命令或方法来实现下载 虽然huggingface-cli 没有直接的 download 命令,但你可以使用其他方法来下载 Hugging Face 模型。例如,你可以使用 transformers 库中的 ...
huggingface-cli delete-cache --sort=size feat: add--sortarg todelete-cacheto sort by size by@AlpinDalein#2815 Since end 2024, it is possible to manage the LFS files stored in a repo from the UI (seedocs). This release makes it possible to do the same programmatically. The goal is ...
entire directory huggingface-cli upload my-cool-model ./models # Sync local Space with Hub (upload new files except from logs/, delete removed files) huggingface-cli upload Wauplin/space-example --repo-type=space --exclude="/logs/*" --delete="*" --commit-message="Sync local Space with...
CLI usage You can use@huggingface/hubin CLI mode to upload files and folders to your repo. npx @huggingface/hub upload coyotte508/test-model .npx @huggingface/hub upload datasets/coyotte508/test-dataset .#Same thingnpx @huggingface/hub upload --repo-type dataset coyotte508/test-dataset .#Uplo...
tokenizer = AutoTokenizer.from_pretrained("namespace/pretrained_model") model = AutoModel.from_pretrained("namespace/pretrained_model") List all your files on S3: transformers-cli s3 ls You can also delete unneeded files: transformers-cli s3 rm … ...
./llama.cpp/llama-cli \ --model unsloth/DeepSeek-R1-GGUF/DeepSeek-R1-Q2_K_XS.gguf \ --cache-type-k q5_0 \ --threads 16 --prompt '<|User|>What is 1+1?<|Assistant|>' --n-gpu-layers 20 \ -no-cnv Finetune LLMs 2-5x faster with 70% less memory via Unsloth! We have...
cli: error: argument {env,login,whoami,logout,repo,lfs-enable-largefiles,lfs-multipart-upload,scan-cache,delete-cache}: invalid choice: 'download' (choose from 'env', 'login', 'whoami', 'logout', 'repo', 'lfs-enable-largefiles', 'lfs-multipart-upload', 'scan-cache', 'delete-cache'...