Hugging Face mentions (261)

• Deploy the vLLM Inference Engine to Run Large Language Models (LLM) on Koyeb

  Hugging Face account with a read-only API token. You will use this to fetch the models that vLLM will run. You may also need to accept the terms and conditions or usage license agreements associated with the models you intend to use. In some cases, you may need to request access to the model from the model owners on Hugging Face. For this guide, make sure you have accepted any terms required for the... - Source: dev.to / 2 days ago

• Leverage AI with Twilio for Hotelier

  This template ships with Google Gemini models/gemini-1.0-pro-001 as the default. However, thanks to the Vercel AI SDK, you can switch LLM providers to OpenAI, Anthropic, Cohere, Hugging Face, or using LangChain with just a few lines of code. - Source: dev.to / 4 days ago

• OpenAI api RAG system with Qdrant

  I wanted to get a project for running my own pipeline with somewhat interchangeable parts. Models can be swapped around so that you can make the most of the latest models either available on Hugginface, OpenAI or wherever. - Source: dev.to / about 2 months ago

• Generating replies using Huggingface interference and Mistrial in NestJS

  Log in to your Huggingface account at https://huggingface.co. Click Access Token in the menu to generate a new token. - Source: dev.to / 17 days ago

• Vector search in Manticore

  While looking into how to create text embeddings quickly and directly, we discovered a few helpful tools that allowed us to achieve our goal. Consequently, we created an easy-to-use PHP extension that can generate text embeddings. This extension lets you pick any model from Sentence Transformers on HuggingFace. It is built on the CandleML framework, which is written in Rust and is a part of the well-known... - Source: dev.to / 22 days ago

LMFlow mentions (0)