Software Alternatives, Accelerators & Startups

TLDR pages VS Hugging Face

Compare TLDR pages VS Hugging Face and see what are their differences

TLDR pages logo TLDR pages

The TLDR pages are a community effort to simplify the beloved man pages with practical examples.

Hugging Face logo Hugging Face

The Tamagotchi powered by Artificial Intelligence 🤗
  • TLDR pages Landing page
    Landing page //
    2019-07-23
  • Hugging Face Landing page
    Landing page //
    2023-09-19

Category Popularity

0-100% (relative to TLDR pages and Hugging Face)
Mac
100 100%
0% 0
AI
0 0%
100% 100
Text Expander
100 100%
0% 0
Social & Communications
0 0%
100% 100

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 259 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.

TLDR pages mentions (0)

We have not tracked any mentions of TLDR pages yet. Tracking of TLDR pages recommendations started around Mar 2021.

Hugging Face mentions (259)

  • 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 1 month 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 / 10 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 / 16 days ago
  • 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 / 20 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 / 29 days ago
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What are some alternatives?

When comparing TLDR pages and Hugging Face, you can also consider the following products

cheat - Cheat allows you to create and view interactive cheatsheets on the command-line.

LangChain - Framework for building applications with LLMs through composability

cheat.sh - The only cheat sheet you need Unified access to the best community driven documentation

Replika - Your Ai friend

explainshell - Match command-line arguments to their help.

Haystack NLP Framework - Haystack is an open source NLP framework to build applications with Transformer models and LLMs.