The Hugging Face Hub is a platform that enables collaborative open source machine learning (ML).The hub works as a central place where users can explore, experiment, collaborate, and build technology with machine learning.On the hub, you can find more than 140,000 models, 50,000 ML apps (called Spaces), and 20,000 datasets shared by the community. Using Spaces makes it easy to create and deploy ML-powered applications and demos in minutes.Recently, the Hugging Face team added support for Docker Spaces, enabling users to create

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Today, Hugging Face and Docker are announcing a new partnership to democratize AI and make it accessible to all software engineers.Hugging Face is the most used open platform for AI, where the machine learning (ML) community has shared more than 150,000 models;25,000 datasets;and 30,000 ML apps, including Stable Diffusion, Bloom, GPT-J, and open source ChatGPT alternatives.These apps enable the community to explore models, replicate results, and lower the barrier of entry for ML — anyone with a browser can interact with the models. Docker

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I’ve been a long-time user and avid fan of both Docker and Kubernetes, and have many happy memories of attending the Docker Meetups in London in the early 2010s.I closely watched as Docker revolutionized the developers’ container-building toolchain and Kubernetes became the natural target to deploy and run these containers at scale.  Today we’re happy to announce Telepresence for Docker, simplifying how teams develop and test on Kubernetes for faster app delivery.Docker and Ambassador Labs both help cloud-native developers to be super-productive, and we’re

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We recently announced the first Technical Preview of Docker+Wasm, a special build that makes it possible to run Wasm containers with Docker using the WasmEdge runtime.Starting from version 4.15, everyone can try out the features by activating the containerd image store experimental feature. We didn’t want to stop there, however.Since October, we’ve been working with our partners to make running Wasm workloads with Docker easier and to support more runtimes. Now we are excited to announce a new

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We apologize for how we communicated and executed sunsetting Docker “Free Team” subscriptions, which alarmed the open source community. For those of you catching up, we recently emailed accounts that are members of Free Team organizations, to let them know that they will lose features unless they move to one of our supported free or paid offerings.This impacted less than 2% of our users.Note that this change does not affect Docker Personal, Docker Pro, Docker Team, or Docker Business accounts, Docker-Sponsored Open

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