Disclaimer: This post has been translated to English using a machine translation model. Please, let me know if you find any mistakes.
If you want to calculate the memory you need to run a model, use this space from HuggingFace.
Learn how to use Langchain with the most popular open-source integrations. In this post, we will explore how to integrate Langchain with ChromaDB, Ollama and HuggingFace.
😠 ¿Tus commits parecen escritos en lenguaje alienígena? 👽 ¡Únete al club! 😅 Aprende Conventional Commits en Python y deja de torturar a tu equipo con mensajes crípticos. git-changelog y commitizen serán tus nuevos mejores amigos. 🤝
Forget about Ctrl+F! 🤯 With RAG, your documents will answer your questions directly. 😎 Step-by-step tutorial with Hugging Face and ChromaDB. Unleash the power of AI (and show off to your friends)! 💪
Hugging Face spaces allow us to run models with very simple demos, but what if the demo breaks? Or if the user deletes it? That's why I've created docker containers with some interesting spaces, to be able to use them locally, whatever happens. In fact, if you click on any project view button, it may take you to a space that doesn't work.
Dataset with jokes in English
Dataset with translations from English to Spanish
Dataset with Netflix movies and series
