3. 下载需要登录的模型(Gated Model) 请添加--token hf_***参数,其中hf_***是access token,请在Hugging Face官网这里获取。示例: huggingface-cli download --token hf_*** --resume-download --local-dir-use-symlinks False meta-llama/Llama-2-7b-hf --local-dir Llama-2-7b-hf hf_transfer加速 hf...
from huggingface_hub import snapshot_download snapshot_download(repo_id="internlm/internlm2-chat-7b") 同样也可以指定 cache_dir 参数,另外还有一个 local_dir 参数,作用类似于上面的 save_pretrained。 也可以使用 huggingface_hub 提供的命令行工具 huggingface-cli download internlm/internlm2-chat-7b 如果...
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...
方法一 使用 huggingface 官方提供的huggingface-cli命令行工具。 1. 安装相关依赖 pip install -U h...
huggingface-cli login 通过snapshot_download下载模型 fromhuggingface_hubimportsnapshot_download snapshot_download(repo_id="bigscience/bloom-560m",local_dir="/data/user/test",local_dir_use_symlinks=False,proxies={"https":"http://localhost:7890"}) ...
from huggingface_hub import snapshot_download snapshot_download(repo_id="tatsu-lab/alpaca_eval", repo_type='dataset') 1. 2. 或者也可以通过huggingface-cli 命令行进行下载模型 huggingface-cli download --repo-type dataset tatsu-lab/alpaca_eval ...
llama-chat.wasm - 这是个 wasm 应用,为你提供与在 PC 上运行的 LLM “聊天”的CLI。也可以用 llama-api-server.wasm 为模型创建一个 API 服务器。 --prompt-template llama-2-chat - 指定适用于 llama-2-7b-chat模型的提示词模板类型。 WasmEdge 的下载请参考活动预告|如何使用 LlamaEdge 本地运行 Yi ...
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: ...
Just my /2c, one of the first things I expected the CLI to be able to do afterloginwas 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 ...
Setup the CLI.Find the model to deployBrowse the model catalog in Azure Machine Learning studio and find the model you want to deploy. Copy the model name you want to deploy. The models shown in the catalog are listed from the HuggingFace registry. You deploy the bert_base_uncased model ...