from huggingface_hub import notebook_login # 弹框中输入账户和密码 notebook_login() # 终端中可以用 CLI 命令 huggingface-cli login 4.1.2 第二步:开启上传 push_to_hub=True 训练模型时,在定义训练参数的时候,配置 push_to_hub=True,这样训练好之后可以自动上传。 from transformers import TrainingArgument...
from huggingface_hub import notebook_login # 界面方式登陆 huggingface notebook_login() # 终端方式登陆 huggingface-cli login # 推送tokenizer 到 huggingface hub # 下面这行代码会在自己目录下面创建一个仓库,名字叫做 code-search-net-tokenizer tokenizer.push_to_hub("code-search-net-tokenizer") 2.7 第...
国内镜像网站设置:export HF_ENDPOINT="https://hf-mirror.com"安装huggingface-cli pip install -U huggingface_hub 1. 安装huggingface上的模型: huggingface-cli download --resume-download THUDM/chatglm3-6b --local-dir download/chatglm3-6b --local-dir-use-symlinks False 1. 以llama3为例,申请信息不...
evaluate-cli create"Awesome Metric" See thisstep-by-step guidein the documentation for detailed instructions. Thanks to@marellafor letting us use theevaluatenamespace on PyPi previously used by hislibrary. About 🤗 Evaluate: A library for easily evaluating machine learning models and datasets. ...
huggingface-cli auth list Delete a specific token from your machine with: huggingface-clilogout[--token-name TOKEN_NAME] ✅ Nothing changes if you are using theHF_TOKENenvironment variable as it takes precedence over the token set via the CLI. More details in thedocumentation. 🤗 ...
We also have an API to query models by specific tags (e.g. if you want to list models compatible to your library) huggingface-cli Those API utilities are also exposed through a CLI: huggingface-cli login huggingface-clilogouthuggingface-cli whoami ...
Deploy HuggingFace hub models using CLI Setup the CLI. Find the model to deploy Browse 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 theHuggingFaceregistry. Yo...
AWS CLI commands for Amazon SageMaker AI SDKs & Tools Did this page help you? Yes No Provide feedback This page has not been translated into your language. Request translation Hugging Face is an open-source provider of natural language processing (NLP) models. The HuggingFaceProcessor in the...
Setup the CLI. Find the model to deploy Browse 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...
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,此外需要安装 0.17.0 及以上的版本,推荐0.19.0+ 基本用法 1 huggingface-cli download --resume-download bigscience/bloom-560m --local-dir bloom-560m ...