Height minutes Streamlit & Hugging Face Spaces скачать в хорошем качестве

Height minutes Streamlit & Hugging Face Spaces

Streamlit is an Open-source framework that simplifies the creation of Web Applications to explore data through Machine Learning models. Hugging Face, a Franco-American start-up created in 2016, makes it very easy for anyone to use pre-trained Transformer models via Hugging Face Transformer: an open-source library for scientists and companies. Hugging Face Spaces are a simple way to host Machine Learning demo apps directly on your profile or your organization’s profile. This allows you to create your ML portfolio, showcase your projects at conferences or to stakeholders, and work collaboratively with other people in the Machine Learning ecosystem. Streamlit ML Web App Deploy on Hugging Face Spaces with Github Actions Tutorial:    • Streamlit ML Web App Deploy on Hugging Fac...   Ambitions to become GitHub for machine learning? Hugging Face adds Decision Transformer to its library: https://analyticsindiamag.com/ambitio... OpenAI DALL E: Creating Images from Text (Blog Post Explained) by Yannic Kilcher:    • OpenAI DALL·E: Creating Images from Text (...   -Binary Classification Web App (made from a Coursera tutorial Build a Machine Learning Web App with Streamlit and Python) hosted on Hugging Face Spaces: https://huggingface.co/spaces/Magali/... https://www.coursera.org/projects/mac... Hugging Face Spaces: https://huggingface.co/spaces Hugging Face Spaces documentation: https://huggingface.co/docs/hub/spaces