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Apr 13, 2022 · Hugging Face is a community and data science platform that provides: Tools that enable users to build, train and deploy ML models based on open source (OS) code and technologies. A place where a broad community of data scientists, researchers, and ML engineers can come together and share ideas, get support and contribute to open source projects.
This repo contains the content that's used to create the Hugging Face course. The course teaches you about applying Transformers to various tasks in natural language processing and beyond. Along the way, you'll learn how to use the Hugging Face ecosystem — 🤗 Transformers, 🤗 Datasets, 🤗 Tokenizers, and 🤗 Accelerate — as well as ...
Model Details. BLOOM is an autoregressive Large Language Model (LLM), trained to continue text from a prompt on vast amounts of text data using industrial-scale computational resources. As such, it is able to output coherent text in 46 languages and 13 programming languages that is hardly distinguishable from text written by humans.
May 23, 2023 · By Miguel Rebelo · May 23, 2023. Hugging Face is more than an emoji: it's an open source data science and machine learning platform. It acts as a hub for AI experts and enthusiasts—like a GitHub for AI. Originally launched as a chatbot app for teenagers in 2017, Hugging Face evolved over the years to be a place where you can host your own AI ...
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Command Line Interface (CLI) The huggingface_hub Python package comes with a built-in CLI called huggingface-cli. This tool allows you to interact with the Hugging Face Hub directly from a terminal. For example, you can login to your account, create a repository, upload and download files, etc. It also comes with handy features to configure ...
Apr 18, 2024 · Meta’s Llama 3, the next iteration of the open-access Llama family, is now released and available at Hugging Face. It's great to see Meta continuing its commitment to open AI, and we’re excited to fully support the launch with comprehensive integration in the Hugging Face ecosystem. Llama 3 comes in two sizes: 8B for efficient deployment ...
