Hugging Face Reviews and details

Social recommendations and mentions

• Chat with your Github Repo using llama_index and chainlit

  HuggingFaceEmbeddings is a function that we use for converting our documents to vector which is called embedding, you can use any embedding model from huggingface, it will load the model on your local computer and create embeddings(you can use external api/service to create embeddings), then we just pass this to context and create index and store them into folder so we can reuse them and don't need to recalculate it. - Source: dev.to / 11 days ago

• AI enthusiasm - episode #1🚀

  The only requirement for this tutorial is to have an Hugging Face account. In order to get it:. - Source: dev.to / 17 days ago

• Hosting Your Own AI Chatbot on Android Devices

  Finally, you'll need to download a compatible language model and copy it to the ~/llama.cpp/models directory. Head over to Hugging Face and search for a GGUF-formatted model that fits within your device's available RAM. I'd recommend starting with TinyLlama-1.1B. - Source: dev.to / 24 days ago

• Sentiment Analysis with PubNub Functions and HuggingFace

  At this point, probably everyone has heard about OpenAI, GPT-4, Claude or any of the popular Large Language Models (LLMs). However, using these LLMs in a production environment can be expensive or nondeterministic regarding its results. I guess that is the downside of being good at everything; you could be better at performing one specific task. This is where HuggingFace can utilized. HuggingFace provides... - Source: dev.to / 23 days ago

• PrivateGPT exploring the Documentation

  New models can be added by downloading GGUF format models to the models sub-directory from https://huggingface.co/. - Source: dev.to / about 1 month ago

• Ask HN: Where can I find practical comparative data regarding different LLMs?

  I've been trying to keep up with the advances in the world of AI and LLMs. NLP was a world that I knew pretty well 7 years ago, when I knew most of the major NLP libraries, and their various strengths and weaknesses. However, nowadays, I'm having trouble finding good discussions about the real uses of the LLMs. I have gone to Hugging Face, and the amount of data there is overwhelming, but it seems poorly... - Source: Hacker News / about 2 months ago

• My Embeddings Stay Close To Each Other, What About Yours?

  We are going to use all-MiniLM-L6-v2 model from hugging face. - Source: dev.to / 2 months ago

• Creating Videos with Stable Video Diffusion

  Log in to Hugging Face. You can create an account for free if you don't have one. - Source: dev.to / 3 months ago

• A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev

  Huggingface.co - Build, train, and deploy NLP models for Pytorch, TensorFlow, and JAX. Free up to 30k input characters/mo. - Source: dev.to / 3 months ago

• #JavaScriptmas 2023 Day 13 to 18

  I used huggingface for this challenge. You can find the documentation here. - Source: dev.to / 4 months ago

• Generative AI Frameworks and Tools Every Developer Should Know!

  Hugging Face is a multifaceted platform that plays a crucial role in the landscape of artificial intelligence, particularly in the field of natural language processing (NLP) and generative AI. It encompasses various elements that work together to empower users to explore, build, and share AI applications. - Source: dev.to / 5 months ago

• Disappointed in grok

  It is a generic bot, probably one of the smaller Llama models from Facebook that was told to be an ahole. There is nothing to it. You can have your own. Just go to https://huggingface.co/. Source: 5 months ago

• Anyone else think the corporate obsession with AI is overblown?

  I wanted to put together a little LLM experiment for a club hackathon and I ended up attempting to implement a local GPT. I came across this site which seems to be a resource for researchers to try out different trained models: https://huggingface.co/. Source: 5 months ago

• chatgpt alternative

  If you weren’t already aware of this, there is a whole website that has a variety of AI models that you can self host. Source: 5 months ago

• Make no mistake—AI is owned by Big Tech

  The /r/LocalLLaMA subreddit is all about them, and Huggingface hosts hundreds of thousands of models of every variety - over 35,000 large language models in the vein of ChatGPT. Source: 5 months ago

• Build a Free and Easy Prompter(like ChatGPT) with Hugging Face Models in Just 8 Lines of Code 🚀💬🤖

  Go to the official Hugging Face website at https://huggingface.co/ and signup or signin accordingly. - Source: dev.to / 5 months ago

• Unleashing AI Power Locally: Using LM Studio

  In my experience dealing in developing AI powered applications using langchain framework, I arrived to need to involve a local LLM model. So I started searching for some guides or videos and at the end I landed on video: "Run ANY Open-Source Model LOCALLY". Seeing this very interesting video, I have realized that in the fast-paced realm of AI, open-source large language models have become increasingly accessible,... - Source: dev.to / 5 months ago

• How can I learn more about models, trends, news, etc?

  Hugging Face is the place for this. For new developments in general, arXiv is where you want to search as explained in the wiki. Source: 6 months ago

• customize oobabooga for my git server

  Try opening the download-model.py file in a text editor, and changing every instance of http://huggingface.co to your own git server’s URL. Source: 6 months ago

• Lets build a Github document search tool using React + Supabase + LLAMA2

  A huggingface account to download the LLAMA2 model. - Source: dev.to / 7 months ago

• Generating AI Images from your own PC

  Next, we need a stable diffusion model, and we can get one from Hugging Face. - Source: dev.to / 7 months ago