2 + title: Getting Started with Hugging Face Inference Endpoints 3 + thumbnail: /blog/assets/109_inference_endpoints/endpoints05.png 4 + --- 5 + 6 + 7 + Getting Started with Hugging Face Inference Endpoints 8 + 9 + 10 + 11 + Published October 11, 2022. 12 + ...
In this guide, we’ll show you how to quickly set up and use DigitalOcean’s one-click, pre-configured Hugging Face Llama 3.1 model on a DigitalOcean GPU Droplet. We’ll walk you through the simple process so you can get started right away. We’ll also cover what makes Llama 3.1 uniqu...
2. Host embeddings for free on the Hugging Face Hub 🤗 Datasets is a library for quickly accessing and sharing datasets. Let's host the embeddings dataset in the Hub using the user interface (UI). Then, anyone can load it with a single line of code. You can also u...
In this session, we take a step-by-step approach to fine-tune a Llama 2 model on a custom dataset. Maxime Labonne code-along Using Open Source AI Models with Hugging Face Deep dive into open source AI, explore the Hugging Face ecosystem, and build an automated image captioning system...
and Hugging Face. LangChain provides a standard interface for interacting with different LLMs, as well as tools for creating and managing prompts, chains, agents, and modules. You can use LangChain to create applications for various tasks and domains, such as writing, coding, graphic art, etc...
1.Hugging Face Datasets Hugging Face's Datasets library is, in essence, a packaged collection of publicly-available NLP datasets with a common set of APIs and data formats, as well as some ancillary functionality. The largest hub of ready-to-use NLP datasets for ML models with fast, easy-...
The following steps demonstrate creating a Python script that performs the following actions: Connects to the container with the microservice and the content safety model. Connects to Hugging Face to tokenize text with the Meta Llama 3.1 8B Instruct model. ...
In the Copilot application, we create applications through Semantic Kernel / LangChain. This type of application framework is generally compatible with Azure OpenAI Service / OpenAI models, and can also support open source models on Hugging face and local models. Wh...
You can launch your notebooks quickly with the CPUs and GPUs resources you need. You also get secure user access, simplified use of your data, and the most popular artificial intelligence frameworks (TensorFlow, PyTorch, Hugging Face, Scikit-learn, ...). The advantage compared to doing your ...
The first one in computer science with a focus in Machine Learning from Paris, France, and the second one in Data Science from Texas Tech University in the US. His career path started as a Software Developer at Groupe OPEN in France, before moving on to IBM as a Machine Learning ...