安装HuggingFace网站提供的HuggingFace CLI: pip install git+https://github.com/huggingface/huggingface_hub 登录HuggingFace账户: huggingface-cli login 获取用户名下所有模型的使用分析: import huggingface_hub user = huggingface_hub
下面将本章会用到的huggingface_hub中方法列在下面: fromhuggingface_hubimport(# User managementlogin,logout,whoami,# Repository creation and managementcreate_repo,delete_repo,update_repo_visibility,# And some methods to retrieve/change information about the contentlist_models,list_datasets,list_metrics,li...
HuggingFace Accelerate 有一个特殊的 CLI 命令，可帮助您通过加速启动在系统中启动代码。 该命令包含在各...
The Hugging Face Hub can also host your Core ML models. You can use the huggingface_hub package to upload the converted model to the Hub from Python. First log in to your Hugging Face account account with the following command: huggingface-cli login Once you are logged in, save the mlpac...
如何快速下载huggingface大模型:https://padeoe.com/huggingface-large-models-downloader/ 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...
InferenceClient 现已全面支持各种推理任务,包括对象检测、文本分类、令牌分类等。此外,该版本还提供了两个新的辅助函数:list_deployed_models和get_model_status,用于获取 Inference API 服务上已部署模型的信息。 cli 功能也得到了显著的提升。用户现在可以使用huggingface-cli download和huggingface-cli upload命令方便地...
huggingface-cli download gpt2 config.json --local-dir=./models/gpt2 usage: huggingface-cli [<args>] huggingface-cli: error: invalid choice: 'download' (choose from 'env', 'login', 'whoami', 'logout', 'repo', 'lfs-enable-largefiles', 'lfs-multipart-upload', 'scan-cache', 'delete...
import*ashubfrom"@huggingface/hub";importtype{RepoDesignation}from"@huggingface/hub";constrepo:RepoDesignation={type:"model",name:"myname/some-model"};const{name:username}=awaithub.whoAmI({accessToken:"hf_..."});forawait(constmodelofhub.listModels({search:{owner:username},accessToken:"hf_....
Deploy HuggingFace hub models using CLI Показатище 3 Microsoft has partnered with Hugging Face to bring open-source models from Hugging Face Hub to Azure Machine Learning. Hugging Face is the creator of Transformers, a widely popular library for building large language models. The Hug...
这也是确保我们登录到Hugging Face Hub的一个好时机(如果你在终端工作,你可以执行huggingface-cli login命令)。 from huggingface_hub import notebook_login notebook_login() 我们还需要告诉Trainer如何在验证集上计算指标,所以在这里我们可以使用之前定义的align_predictions()函数,以seqeval需要的格式提取预测和标签,...