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在huggingface_hub.constants模块中,hf_home是一个重要的常量,它代表了Hugging Face模型和数据集的默认缓存路径。 你可以通过以下代码导入并使用这个常量: python from huggingface_hub.constants import hf_home print(hf_home) 这段代码会打印出hf_home的路径,通常是用户主目录下的.cache/huggingface/hub。 修改hf...
1. 了解HF_HOME缓存目录的作用 在更换HF_HOME缓存目录之前,我们首先需要了解它的作用。HF_HOME是Hugging Face用于存储预训练模型和相关数据的缓存目录。当我们使用Hugging Face提供的工具和函数加载模型时,它会在HF_HOME目录下查找并加载所需的模型和数据。因此,更换HF_HOME缓存目录可以帮助我们更好地管理和控制模型的...
步骤三:使用HF_MIRROR镜像下载q4_0.bin文件 现在,我们可以使用HF_MIRROR镜像来下载TheBloke/Llama-2-7B-GGML的q4_0.bin文件。请按照以下步骤操作: 在命令行终端中,使用以下命令来下载q4_0.bin文件(假设你已经知道了HF_MIRROR的具体URL): wget -P $HF_HOME/models/thebloke/llama-2-7b-ggml/q4_0/ http:...
ENV HF_HOME=/data \ HF_HUB_ENABLE_HF_TRANSFER=1 \ PORT=80 2 changes: 1 addition & 1 deletion 2 Dockerfile_intel Original file line numberDiff line numberDiff line change @@ -57,7 +57,7 @@ RUN wget -O- https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW...
30 - HF_HOME="$(pwd)/.hf_cache_node1" DEBUG_DISCOVERY=7 DEBUG=7 exo --inference-engine <<parameters.inference_engine>> \ 30 + EXO_HOME="$(pwd)/.exo_cache_node1" DEBUG_DISCOVERY=7 DEBUG=7 exo --inference-engine <<parameters.inference_engine>> \ ...
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The present invention relates to a wireless home automation system having controllers for controlling a broad variety of functions via two-way communication with a plurality of devices. More specifically, the invention relates to sharing information related to the system between controllers, e.g. by ...
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misc: set HF_HOME and HF_TOKEN Thank you for your contribution, we really appreciate it. The following instructions will help improve your pull request and make it easier to receive feedback. If there are any items you don't understand, don't worry. Just submit the pull request and ask...