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(pytorch-image-models)","type":"github","url":"https://github.com/huggingface/pytorch-image-models","isPrimary":false,"isHidden":false,"fetchPriority":"low","releaseCount":76,"latestVersion":"v1.0.26","latestDate":"2026-03-23T18:13:40.000Z","latestAddedAt":"2026-04-07T18:01:56.232Z","productSlug":null,"productName":null}],"overview":null,"knowledgePage":null,"playbook":{"scope":"playbook","content":"# Hugging Face — Playbook\n\n> Agent reference for fetching and maintaining **Hugging Face** (`hugging-face`) changelog sources.\n\n**15** active sources · **6** products: Transformers, Diffusers, Inference, Fine-tuning, Hub, Agents · domain: huggingface.co\n\n## Sources\n\n| Name | ID | Type | URL | Product | Last Fetched |\n|------|-----|------|-----|---------|--------------|\n| Hugging Face Changelog | `src_c0RMcJys8Qx4OHgxYJ6hm` | scrape | https://huggingface.co/changelog | — | Apr 7 |\n| Transformers | `src_IUEmstpqhDfKSwUnkELwV` | github | https://github.com/huggingface/transformers | Transformers | Apr 18 |\n| Diffusers | `src_-khuqUkENPl1hYY6-1dXV` | github | https://github.com/huggingface/diffusers | Diffusers | Apr 18 |\n| Datasets | `src_LHuTKvsCXKuAjW5sqiSx2` | github | https://github.com/huggingface/datasets | Transformers | Apr 18 |\n| Tokenizers | `src_9fkD1v4bXCzE8DETuFtcD` | github | https://github.com/huggingface/tokenizers | Transformers | Apr 18 |\n| huggingface_hub | `src_8CQoUZraeopI0Npl6YcHz` | github | https://github.com/huggingface/huggingface_hub | Hub | Apr 18 |\n| TRL | `src_g_3xbu2oRX52tM8mwXJzq` | github | https://github.com/huggingface/trl | Fine-tuning | Apr 18 |\n| Text Generation Inference | `src_8VF2j2OWHfhvBPnI2jCTO` | github | https://github.com/huggingface/text-generation-inference | Inference | Apr 18 |\n| Text Embeddings Inference | `src_YM5oUOL-MSWOWf517en37` | github | https://github.com/huggingface/text-embeddings-inference | Inference | Apr 18 |\n| Accelerate | `src_1Vk_JUWQr8OB4gWRFgxmj` | github | https://github.com/huggingface/accelerate | Transformers | Apr 18 |\n| PEFT | `src_p8uVHjEHY1lSK3poHvlWI` | github | https://github.com/huggingface/peft | Fine-tuning | Apr 18 |\n| smolagents | `src_GAQvswD7_4iYYULFMcKGj` | github | https://github.com/huggingface/smolagents | Agents | Apr 18 |\n| LeRobot | `src_NThpKNdTedRwnEH_JvzYX` | github | https://github.com/huggingface/lerobot | — | Apr 18 |\n| Transformers.js | `src_Xpuy_bSviQuAwbH7CzGKR` | github | https://github.com/huggingface/transformers.js | Transformers | Apr 18 |\n| timm (pytorch-image-models) | `src_mRkDl5cw2RRRdWi1WjQE2` | github | https://github.com/huggingface/pytorch-image-models | — | Apr 18 |\n\n## Agent Notes\n\n### Extraction patterns\n- 14 of 15 sources are GitHub repos — all use standard GitHub Releases API extraction. Expect structured release notes with version tags.\n- The single scrape source (hugging-face-changelog at huggingface.co/changelog) covers platform-level updates (Hub, Spaces, Inference Endpoints, etc.) that are not tied to any individual library repo.\n- GitHub repos follow consistent naming: `huggingface/<repo>`. Version tags typically use `v` prefix (e.g., `v0.28.0`) across most repos.\n- Transformers is the highest-volume repo — expect frequent patch releases and occasional large feature releases with detailed migration notes.\n- Diffusers and TRL also release frequently, often with extensive changelogs listing new pipelines/trainers.\n\n### Known quirks\n- This is a large source set (15 sources) — full fetch cycles take significant time. Prioritize transformers, diffusers, peft, and trl for the most impactful updates.\n- The scrape source (hugging-face-changelog) may overlap with some GitHub repo announcements, but primarily covers platform features (Hub UI, Spaces, Inference API) that have no corresponding repo.\n- LeRobot and timm (pytorch-image-models) are org-level sources not assigned to a product — their releases may not map cleanly to the existing product structure.\n- smolagents is relatively new and may have irregular release cadences compared to the more established libraries.\n- Text Generation Inference and Text Embeddings Inference releases are often Docker/container-focused with infrastructure-level changes rather than library API changes.\n\n### Source coverage\n- **Transformers** product: transformers, accelerate, datasets, tokenizers, transformers-js — the core ML stack. Transformers itself is the flagship; accelerate handles distributed training; datasets provides data loading; tokenizers is the fast tokenization backend; transformers-js brings models to the browser.\n- **Diffusers** product: diffusers — single source covering image/audio/video generation pipelines.\n- **Fine-tuning** product: peft (parameter-efficient fine-tuning adapters like LoRA) and trl (reinforcement learning from human feedback / alignment training).\n- **Inference** product: text-generation-inference and text-embeddings-inference — optimized serving infrastructure for production deployments.\n- **Hub** product: huggingface-hub — the Python client library for interacting with the Hub API (model uploads, downloads, repo management).\n- **Agents** product: smolagents — lightweight agent framework for LLM tool use.\n- **Unassigned**: lerobot (robotics ML), timm-pytorch-image-models (computer vision models) — these sit at the org level. The hugging-face-changelog scrape source also covers platform updates across all products.\n- Highest priority sources for staying current: transformers, diffusers, peft, trl, huggingface-hub, and the platform changelog scrape.\n","updatedAt":"2026-04-18T13:03:49.348Z"}}