Huggingface Hub Version. 1, last published: 5 days ago. cache/huggingface/hub. With huggi
1, last published: 5 days ago. cache/huggingface/hub. With huggingface_hub, you can easily download and upload models, extract useful information from the Hub, and do much more. 3 - Ac The huggingface_hub library allows you to interact with the Hugging Face Hub, a machine learning platform for creators and collaborators. 29. For example, to download the HuggingFaceH4/zephyr-7b-beta model from the command line, run Docs of the Hugging Face Hub. Utilities to interact with the Hugging Face hub. Discover Hugging Face's gpt-oss-20b model, a smaller open-source AI with versatile applications and fine-tuning capabilities for developers and researchers. ^ "BLOOM". Nov 16, 2025 · Master huggingface-hub: Client library to download and publish models, datasets and other r. Some example use cases: Downloading and caching files from a Hub repository. Dies ist das Standardverzeichnis, das durch die Shell-Umgebungsvariable “HF_HUB_CACHE” vorgegeben ist. For example: Explore and run machine learning code with Kaggle Notebooks | Using data from AI Village Capture the Flag @ DEFCON31 Jan 8, 2026 · This page documents the end-to-end process for publishing trained London Historical LLM models to Hugging Face Hub. Jan 5, 2026 · The short version cached_download was officially deprecated (retired) and finally removed in recent versions of huggingface_hub card_data (huggingface_hub. - huggingface/trl Jan 11, 2026 · First-run behavior: The system automatically downloads the selected model (~200MB) from HuggingFace Hub and caches it in ~/. 12 - Huggingface_hub version: 0. cache\huggingface\hub. You can use the huggingface_hub library to create, delete, update and retrieve information from repos. Run the following command: (app-root) /opt/app-root$ export HF_HUB_OFFLINE=0 (app-root) /opt/app-root$ export HF_HUB_OFFLINE=0 Copy to ClipboardCopied!Toggle word wrapToggle overflow Download the model to the default directory. Includes testing (to run tests), typing (to run type checker) and quality (to run linters). Archived from the original on November 14, 2022. Recommend using --build-argmax_jobs= & --build-argnvcc_threads= flags to speed up build process. Inside the container, set HF_HUB_OFFLINE to 0. We’re on a journey to advance and democratize artificial intelligence through open source and open science. - huggingface/trl Jan 8, 2026 · This page documents the end-to-end process for publishing trained London Historical LLM models to Hugging Face Hub. bigscience. Hopefully, this will make it clear to others in the community what you’ve tried and where the issue lies. Keep an eye on memory usage with parallel jobs as it can be substantial (see example below). On Windows, the default directory is C:\Users\username\. 0 - Platform: Linux-5. There are 36 other projects in the npm registry using @huggingface/hub. The official Python client for the Hugging Face Hub. Vorgefertigte Modelle werden heruntergeladen und lokal zwischengespeichert unter: ~/. cache/huggingface/. 18 hours ago · On the Hub, a lot of data is forked and versioned, and even small edits can require uploading and storing a whole new large object, even when most bytes are identical. Latest version: 2. 2, last published: 4 days ago. Sur Windows, le dossier par défaut est C:\Users\nom_utilisateur\. 0+. Die huggingface_hub Bibliothek bietet eine einfache Möglichkeit, einen Dienst aufzurufen, der die Inferenz für gehostete Modelle durchführt. LangChain is an open source framework with a pre-built agent architecture and integrations for any model or tool — so you can build agents that adapt as fast as the ecosystem evolves AI 智能体的 hugging face. Using the HfApi client is preferred but not mandatory as all of its public methods are exposed directly at the root of huggingface_hub. 5 days ago · The huggingface_hub library allows you to interact with the Hugging Face Hub, a platform democratizing open-source Machine Learning for creators and collaborators. 10. CardData instance containing the metadata you want to include in the YAML header of the repo card on the Hugging Face Hub. Start using @huggingface/hub in your project by running `npm i @huggingface/hub`. Aug 12, 2024 · Git LFS is an open-source extension that allows version control systems to handle large files more effectively. 4 days ago · The Hub works as a central place where anyone can share, explore, discover, and experiment with open-source Machine Learning. Let's deploy your website with DeepSite and enjoy the magic of AI. You can also create and share your own models, datasets and demos with the community. 0. Retrieved August 25, 2023. Certainly! Here’s a detailed message to explain the dependency issue you’re facing, with the necessary commands to help resolve it. Nov 19, 2025 · We’re on a journey to advance and democratize artificial intelligence through open source and open science. 6. Python 3. Multiple modules must be compiled, so this process can take a while. Cache a model in a different directory by changing the path in the following shell environment variables (listed by priority). - huggingface/huggingface_hub We’re on a journey to advance and democratize artificial intelligence through open source and open science. Les modèles pré-entraînés sont téléchargés et mis en cache localement dans le dossier suivant : ~/. Installation guide, examples & best practices. DeepSite is a web development tool that helps you build websites with AI, no code required. Using the Hub’s web interface you can easily create repositories, add files (even large ones!), explore models, visualize diffs, and much more. com SDK Flutter Platform Android iOS Linux macOS Windows Explore and run machine learning code with Kaggle Notebooks | Using data from AI Village Capture the Flag @ DEFCON31 We’re on a journey to advance and democratize artificial intelligence through open source and open science. dev: dependencies to contribute to the lib. The huggingface Client to interact with the Hugging Face Hub via HTTP. Contribute to agent-home/agent-hub development by creating an account on GitHub. This requires internet connectivity. The only exception is resource-constrained applications with very little memory, such as on-device or mobile applications Jan 11, 2026 · First-run behavior: The system automatically downloads the selected model (~200MB) from HuggingFace Hub and caches it in ~/. Subsequent runs use the cached model. 3 Published 2 months ago • nathankolbas. Es gibt mehrere Dienste, mit denen Sie sich verbinden können: Inferenz API: ein Service, der Ihnen ermöglicht, beschleunigte Inferenz auf der Infrastruktur von Hugging Face kostenlos auszuführen. Apr 13, 2025 · System Info - `transformers` version: 4. Aug 14, 2025 · All the backbones are available in the DINOv3 collection on Hugging Face Hub and supported via the Hugging Face Transformers library (with released packages from version 4. However, ensure your max_jobs is substantially larger than nvcc_threads to get the most benefits. The Hugging Face Hub is a platform with over 2M models, 500k datasets, and 1M demo apps (Spaces), all open source and publicly available, in an online platform where people can easily collaborate and build ML together. Retrieved August 5, 2022. It also comes with handy features to configure your machine or manage your cache. huggingface. co hub Dec 9, 2025 · Utilities to interact with the Hugging Face hub. co. Hugging Face currently uses Git LFS as its storage backend, but this system has limitations. 5. C’est le dossier par défaut donné par la variable d’environnement HF_HUB_CACHE. 9. The client is initialized with some high-level settings used in all requests made to the Hub (HF endpoint, authentication, user agents…). . Help Request: Dependency Conflict Between Gradio and Huggingface Hub Versions Hi everyone, I’ve been struggling with a dependency issue for an entire 5 days ago · The huggingface_hub library allows you to interact with the Hugging Face Hub, a platform democratizing open-source Machine Learning for creators and collaborators. 2 - Safetensors version: 0. The Hub works as a central place where anyone can explore, experiment, collaborate, and build technology with Machine Learning. Train transformer language models with reinforcement learning. CardData) — A huggingface_hub. Help Request: Dependency Conflict Between Gradio and Huggingface Hub Versions Hi everyone, I’ve been struggling with a dependency issue for an entire The huggingface_hub library allows you to interact with the Hugging Face Hub, a machine learning platform for creators and collaborators. Jul 20, 2025 · Huggingface下载器;可视化下载工具;支持从平台批量下载模型文件,具备多线程、断点续传、代理设置、文件树可视化选择等实用功能 - HeMOua/HuggingfaceDownloader 5 days ago · Microsoft Foundry will now integrate Hugging Face’s gated models, giving enterprises secure steps access to advanced open-source AI models directly within For most applications, we recommend the latest distil-large-v3 checkpoint, since it is the most performant distilled checkpoint and compatible across all Whisper libraries. There are three kinds of repositories on the Hub, and in this guide you’ll be creating a model repository for demonstration purposes. The huggingface_hub library allows you to interact with the Hugging Face Hub, a platform democratizing open-source Machine Learning for creators and collaborators. 0). Contribute to huggingface/hub-docs development by creating an account on GitHub. 0-136-generic-x86_64-with-glibc2. Discover pre-trained models and datasets for your projects or play with the hundreds of machine learning apps hosted on the Hub. MIT Technology Review. This tool allows you to interact with the Hugging Face Hub directly from a terminal. ^ "Inside a radical new project to democratize AI". Fully open reproduction of DeepSeek-R1. cache/huggingface/hub/. 15. Jan 11, 2026 · HuggingFace Hub Connection Issues Model Download Process On first use, the system downloads CUPE models from HuggingFace Hub to ~/. 7. There are 33 other projects in the npm registry using @huggingface/hub. 以下是 huggingface_hub 中的可选依赖项列表 cli: 为 huggingface_hub 提供更方便的 CLI 界面。 fastai, torch, tensorflow: 运行框架特定功能的依赖项。 dev: 贡献于库的依赖项。 包括 testing (运行测试)、 typing (运行类型检查器)和 quality (运行 linter)。 The Model Hub is where the members of the Hugging Face community can host all of their model checkpoints for simple storage, discovery, and sharing. Sep 23, 2025 · huggingface_hub 0. Need support to adopt the HF Hub in your organization? View our Expert Support. The Model Hub is where the members of the Hugging Face community can host all of their model checkpoints for simple storage, discovery, and sharing. For example: Oct 27, 2025 · We’re on a journey to advance and democratize artificial intelligence through open source and open science. 56. fastai, torch: dependencies to run framework-specific features. It covers the publishing workflow, prerequisites, the two publishing scripts ($1 for The official Python client for the Huggingface Hub. The huggingface_hub Python package comes with a built-in CLI called hf. Download pre-trained models with the huggingface_hub client library, with 🤗 Transformers for fine-tuning and other usages or with any of the over 15 integrated libraries. Client to interact with the Hugging Face Hub via HTTP. huggingface_hub library helps you interact with the Hub without leaving your development environment. The huggingface_hub library plays a key role in this process, allowing any Python script to easily push and load files. Discover pre-trained models and datasets for your projects or play with the thousands of machine learning apps hosted on the Hub. Aug 8, 2025 · huggingface-hub Releases ← Previous 1 2 3 4 5 6 7 Next → Subscribe to an RSS feed of huggingface-hub releases 5 days ago · The piwheels project page for huggingface-hub: Client library to download and publish models, datasets and other repos on the huggingface. ^ Bass, Dina (February 21, 2023). Unter Windows wird das Standardverzeichnis durch C:\Benutzer\Benutzername\. The huggingface_hub library allows you to interact with the Hugging Face Hub, a machine learning platform for creators and collaborators. Install from source In some cases, it is interesting to install The Hugging Face Hub is the go-to place for sharing machine learning models, demos, datasets, and metrics. For example, you can log in to your account, create a repository, upload and download files, etc. template_path (str, optional) — A path to a markdown file with optional Jinja template variables that can be filled in with template_kwargs. Archived from the original on December 4, 2022. The Hugging Face Hub is the go-to place for sharing machine learning models, demos, datasets, and metrics. 35 - Python version: 3. There are four main ways to integrate a library with the Hub: Here is the list of optional dependencies in huggingface_hub: cli: provide a more convenient CLI interface for huggingface_hub. cache\huggingface\hub angegeben. 46. Are you ready to join the path towards open We’re on a journey to advance and democratize artificial intelligence through open source and open science. Retrieved August 20, 2022. You can also create and share your own models and datasets with the community. Contribute to huggingface/open-r1 development by creating an account on GitHub.
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