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Based on our record, Hugging Face should be more popular than GitHub Codespaces. It has been mentiond 297 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
You can easily scale this to 100K+ entries, integrate it with a local LLM like LLama - find one yourself on huggingface. ...or deploy it to your own infrastructure. No cloud dependencies required 💪. - Source: dev.to / 21 days ago
Compatibility with standard tools: Functions with OCI-compliant registries such as Docker Hub and integrates with widely-used tools including Hugging Face, ZenML, and Git. - Source: dev.to / 29 days ago
Hugging Face's Transformers: A comprehensive library with access to many open-source LLMs. https://huggingface.co/. - Source: dev.to / about 2 months ago
Hugging Face provides licensing for their NLP models, encouraging businesses to deploy AI-powered solutions seamlessly. Learn more here. Actionable Advice: Evaluate your algorithms and determine if they can be productized for licensing. Ensure contracts are clear about usage rights and application fields. - Source: dev.to / about 2 months ago
There are lots of open-source models available on HuggingFace that can be used to create vector embeddings. Transformers.js is a module that lets you use machine learning models in JavaScript, both in the browser and Node.js. It uses the ONNX runtime to achieve this; it works with models that have published ONNX weights, of which there are plenty. Some of those models we can use to create vector embeddings. - Source: dev.to / 2 months ago
https://github.com/features/codespaces All you need is a well-defined .devcontainer file. Debugging, extensions, collaborative coding, dependant services, OS libraries, as much RAM as you need (as opposed to what you have), specific NodeJS Versions — all with a single click. - Source: Hacker News / 4 months ago
For this week, our task was to automate everything: GitHub workflows for testing, linting, building, and error checking. Additionally, I set up a dev container that contributors can use in GitHub Codespaces for a fast, hassle-free setup. Finally, we were assigned to write tests for a classmate's project! - Source: dev.to / 7 months ago
As an alternative for Cloud9, you can use vscode.dev, which runs VS Code in the browser or other alternatives that are more integrated and personalized like gitpod.io or Github Codespaces. - Source: dev.to / 9 months ago
Check out GitHub Codespaces https://github.com/features/codespaces I have used it for learning C, Rust and Go. It even has a VSCode editor in the browser. It’s pretty easy to setup. Create a repo, add a hello_world.c, push the code, then in the UI press the green code option and select Create code space on main and then use the gcc from the terminal to compile... - Source: Hacker News / 9 months ago
I updated the settings in my router to keep my IP assigned to my computer to avoid needing to update the DNS file. ### Remote Development One option I didn't try is doing all of your development remotely in something like Github Workspaces. From what it looks like, I think this would provide all the functionality needed except, you'd be dependent on internet and be locked into their pricing. I've worked in this... - Source: dev.to / 10 months ago
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