Software Alternatives, Accelerators & Startups

LMFlow VS Hugging Face

Compare LMFlow VS Hugging Face and see what are their differences

LMFlow logo LMFlow

Utilities, Communications, and Large Language Model Tools

Hugging Face logo Hugging Face

The Tamagotchi powered by Artificial Intelligence 🤗
  • LMFlow Landing page
    Landing page //
    2023-07-28
  • Hugging Face Landing page
    Landing page //
    2023-09-19

Category Popularity

0-100% (relative to LMFlow and Hugging Face)
Utilities
100 100%
0% 0
AI
0 0%
100% 100
Developer Tools
100 100%
0% 0
Social & Communications

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.

LMFlow mentions (0)

We have not tracked any mentions of LMFlow yet. Tracking of LMFlow recommendations started around Apr 2023.

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 LMFlow and Hugging Face, you can also consider the following products

LangChain - Framework for building applications with LLMs through composability

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

Replika - Your Ai friend

Humanloop - Train state-of-the-art language AI in the browser