# huggingface\_hub Published articles for huggingface\_hub. This is one page of public article previews, not the complete archive. Follow Next page to continue. Summaries are not the original full articles. ## Shipping huggingface\_hub every week with AI, open tools, and a human in the loop DevFeed: [Shipping huggingface\_hub every week with AI, open tools, and a human in the loop]() Original publisher: [Read original article]() Author: Lucain Pouget; Célina Hanouti Published: 2026-06-23T00:00:00Z Content type: tutorial Language: en Sources: [Hugging Face - Blog]() Topics: [releases](), [AI Chat]() Tags: [agents](), [ai](), [ci](), [github-actions](), [hub](), [huggingface-hub](), [maintainers](), [open-source](), [release](), [release-notes](), [tools](), [workflow]() ### AI overview A tutorial on automating a weekly huggingface_hub release workflow with GitHub Actions and open tools. It separates mechanical release tasks from AI-assisted drafting of release notes and announcements, while retaining human review for judgment-sensitive work. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Designing the hf CLI as an agent-optimized way to work with the Hub DevFeed: [Designing the hf CLI as an agent-optimized way to work with the Hub]() Original publisher: [Read original article]() Author: Célina Hanouti; Lucain Pouget Published: 2026-06-04T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [Command-line interface](), [AI-assisted coding](), [Claude Code](), [codex](), [cursor](), [SDKs](), [coding]() Tags: [agent](), [agents](), [article](), [blog](), [claude-code](), [cli](), [codex](), [coding](), [cursor](), [hub](), [huggingface-hub]() ### AI overview This article describes how Hugging Face rebuilt its CLI for both human users and coding agents. It explains agent detection, output optimized for compact and complete machine-readable results, and benchmarks showing lower token usage than hand-rolled commands or the Python SDK on complex multi-step tasks. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## huggingface\_hub v1.0: Five Years of Building the Foundation of Open Machine Learning DevFeed: [huggingface\_hub v1.0: Five Years of Building the Foundation of Open Machine Learning]() Original publisher: [Read original article]() Author: Lucain Pouget; Célina Hanouti; Lysandre; Julien Chaumond Published: 2025-10-27T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [huggingface\_hub](), [Open Source](), [AI, ML & Data Engineering](), [datasets](), [API](), [Authentication](), [Command-line interface](), [Git](), [releases]() Tags: [announcement](), [api](), [authentication](), [backend](), [cli](), [git](), [github](), [hub](), [huggingface-hub](), [machine-learning](), [open-source](), [python](), [releases](), [v1]() ### AI overview This article presents huggingface_hub v1.0, describing its performance improvements, redesigned Typer-based CLI, adoption of a new file-transfer backend, and backward-compatibility goals. It also traces the library's evolution from a Git-based utility into a shared foundation for accessing and distributing machine learning models and datasets on the Hugging Face Hub. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Say hello to \`hf\`: a faster, friendlier Hugging Face CLI ✨ DevFeed: [Say hello to \`hf\`: a faster, friendlier Hugging Face CLI ✨]() Original publisher: [Read original article]() Author: Lucain Pouget; Célina Hanouti; Julien Chaumond Published: 2025-07-25T00:00:00Z Content type: tutorial Language: en Sources: [Hugging Face - Blog]() Topics: [Command-line interface](), [hugging face](), [jobs](), [Docker]() Tags: [cli](), [docker](), [hugging-face](), [huggingface-hub](), [jobs](), [python]() ### AI overview This tutorial introduces the renamed `hf` Hugging Face CLI, explaining its reorganized resource-based command structure, installation and testing, authentication and local profile commands, and compatibility with the legacy CLI. It also presents Hugging Face Jobs, which runs scripts or Docker images on Hugging Face Infrastructure with pay-as-you-go billing. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science. ## Rearchitecting Hugging Face Uploads and Downloads DevFeed: [Rearchitecting Hugging Face Uploads and Downloads]() Original publisher: [Read original article]() Author: Banerjee; Jared Sulzdorf; Ann Huang Published: 2024-11-26T00:00:00Z Content type: article Language: en Sources: [Hugging Face - Blog]() Topics: [content addressed store](), [hugging face](), [Amazon S3](), [Amazon Web Services](), [huggingface\_hub](), [Compression](), [dataset](), [Latency](), [Network]() Tags: [aws](), [compression](), [content-addressed-store](), [dedupe](), [hugging-face](), [huggingface-hub](), [infrastructure](), [internet](), [latency](), [s3](), [speed](), [storage](), [xet]() ### AI overview Hugging Face is redesigning the Hub's upload and download architecture to handle increasingly large model and dataset files. The proposed design introduces a content-addressed store, custom chunk-aware transfer protocols, byte-level processing, deduplication, and compression while continuing to use S3 for data storage. The read path emphasizes high throughput and low latency, while the write path validates and uploads only necessary chunks to improve speed and security. ### Source excerpt We're on a journey to advance and democratize artificial intelligence through open source and open science.