Software Alternatives, Accelerators & Startups

Mint For Ukraine VS Hugging Face

Compare Mint For Ukraine VS Hugging Face and see what are their differences

Mint For Ukraine logo Mint For Ukraine

The largest art collection in history, using artificial intelligence to preserve Ukrainian culture and support its recovery, with a first-of-its-kind 100% resale royalty going to support people on the ground in Ukraine.

Hugging Face logo Hugging Face

The Tamagotchi powered by Artificial Intelligence 🤗
  • Mint For Ukraine Landing page
    Landing page //
    2022-08-25
  • Hugging Face Landing page
    Landing page //
    2023-09-19

Category Popularity

0-100% (relative to Mint For Ukraine and Hugging Face)
AI
5 5%
95% 95
Social & Communications
0 0%
100% 100
Design Tools
100 100%
0% 0
Charity And Giving
100 100%
0% 0

User comments

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Social recommendations and mentions

Based on our record, Hugging Face seems to be more popular. It has been mentiond 256 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Mint For Ukraine mentions (0)

We have not tracked any mentions of Mint For Ukraine yet. Tracking of Mint For Ukraine recommendations started around May 2022.

Hugging Face mentions (256)

  • Understanding GPT: How To Implement a Simple GPT Model with PyTorch
    These libraries are fundamental for building and training our GPT model. PyTorch is a deep learning framework that provides flexibility and speed, while the Transformers library by Hugging Face offers pre-trained models and tokenizers, including GPT-2. - Source: dev.to / 3 days ago
  • Building a Simple Chatbot using GPT model - part 2
    Hugging Face is a company and community platform making AI accessible through open-source tools, libraries, and models. It is most notable for its transformers Python library, built for natural language processing applications. This library provides developers a way to integrate ML models hosted on Hugging Face into their projects and build comprehensive ML pipelines. - Source: dev.to / 11 days ago
  • Add Vector Search to Your Site
    We will use the OpenAI embeddings API to convert the content of the blog posts into vector embeddings. You will need to sign up for an API key on the OpenAI website to use the API. You will need to provide your credit card information as there is a cost associated with using the API. You can review the pricing on the OpenAI website. There are alternatives to generate embeddings. Hugging Face provides... - Source: dev.to / 10 days ago
  • How to run any LLM model with Hugging-Face 🤗
    Hugging-face 🤗 is a repository to host all the LLM models available in the world. https://huggingface.co/. - Source: dev.to / 18 days ago
  • 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 / about 2 months ago
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