本示例展示瞭如何使用 Google Cloud Platform (GCP) 中可用的 Hugging Face PyTorch 推理 DLC，在 CPU 和 GPU 例項上，在 Vertex AI 上部署 Hugging Face Hub 中任何受支援的 diffusers 文字到影像模型，在本例中是 black-forest-labs/FLUX. "RWKV/rwkv-4-169m-pile"). Here is an end-to-end example to create and set up a Space on the Hub. For example, you can set the path of where Hugging Face caches its datasets using an environment variable called HF_DATASETS_CACHE. Environment variables huggingface_hub can be configured using environment variables. py script will do the rest assuming you’re using oogabooga We’re on a journey to advance and democratize artificial intelligence through open source and open science. LLM inference for HuggingFace and Ollama, model router and registry. 📁 Smart organization - detects model types and saves to appropriate directories 🎯 Intelligent naming - suggests output names from repo/folder structure 📊 Progress tracking - real-time download and merge progress 🔐 Token support - uses HF_TOKEN environment variable for authentication In this guide, we will see how to manage your Space runtime (secrets, hardware, and storage) using huggingface_hub. For HF_TOKEN, it may read the token file located in the Hugging Face home folder if the environment variable is unset. These integrations enable the system to access large language models, track experimental results, Aug 8, 2025 · This document covers the system-level environment configuration for HackSynth, focusing on environment variables, API authentication, and hardware resource management through `.

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