gpt-oss
Collection
Open-weight models designed for powerful reasoning, agentic tasks, and versatile developer use cases.
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gpt-oss
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Whisper Release
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gpt-oss-safeguard
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Article
huggingface_hub v1.0: Five Years of Building the Foundation of Open Machine Learning
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Hugging Face and VirusTotal collaborate to strengthen AI security
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Model Quality: Hugging Face Is All You Need
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🗺️ New blog post 🗺️
Old Maps, New Terrain: Updating Labour Taxonomies for the AI Era
For decades, we’ve relied on labour taxonomies like O*NET to understand how technology changes work. These taxonomies break down jobs into tasks and skills, but they were built in a world before most work became digital-first, and long before generative AI could create marketing campaigns, voiceovers, or even whole professions in one step. That leaves us with a mismatch: we’re trying to measure the future of work with tools from the past.
With @yjernite we describe why these frameworks are falling increasingly short in the age of generative AI. We argue that instead of discarding taxonomies, we need to adapt them. Imagine taxonomies that:
✨ Capture new AI-native tasks and hybrid human-AI workflows
✨ Evolve dynamically as technology shifts
✨ Give workers a voice in deciding what gets automated and what stays human
If we don’t act, we’ll keep measuring the wrong things. If we do, we can design transparent, flexible frameworks that help AI strengthen, not erode, the future of work.
Read the full article here: https://huggingface.co/blog/frimelle/ai-labour-taxonomies
Old Maps, New Terrain: Updating Labour Taxonomies for the AI Era
For decades, we’ve relied on labour taxonomies like O*NET to understand how technology changes work. These taxonomies break down jobs into tasks and skills, but they were built in a world before most work became digital-first, and long before generative AI could create marketing campaigns, voiceovers, or even whole professions in one step. That leaves us with a mismatch: we’re trying to measure the future of work with tools from the past.
With @yjernite we describe why these frameworks are falling increasingly short in the age of generative AI. We argue that instead of discarding taxonomies, we need to adapt them. Imagine taxonomies that:
✨ Capture new AI-native tasks and hybrid human-AI workflows
✨ Evolve dynamically as technology shifts
✨ Give workers a voice in deciding what gets automated and what stays human
If we don’t act, we’ll keep measuring the wrong things. If we do, we can design transparent, flexible frameworks that help AI strengthen, not erode, the future of work.
Read the full article here: https://huggingface.co/blog/frimelle/ai-labour-taxonomies
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Welcome GPT OSS, the new open-source model family from OpenAI!
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Want to learn how to align a Vision Language Model (VLM) for reasoning using GRPO and TRL? 🌋
🧑🍳 We've got you covered!!
NEW multimodal post training recipe to align a VLM using TRL in @HuggingFace 's Cookbook.
Go to the recipe 👉https://huggingface.co/learn/cookbook/fine_tuning_vlm_grpo_trl
Powered by the latest TRL v0.20 release, this recipe shows how to teach Qwen2.5-VL-3B-Instruct to reason over images 🌋
🧑🍳 We've got you covered!!
NEW multimodal post training recipe to align a VLM using TRL in @HuggingFace 's Cookbook.
Go to the recipe 👉https://huggingface.co/learn/cookbook/fine_tuning_vlm_grpo_trl
Powered by the latest TRL v0.20 release, this recipe shows how to teach Qwen2.5-VL-3B-Instruct to reason over images 🌋