Software Alternatives, Accelerators & Startups

Sidekick VS Hugging Face

Compare Sidekick VS Hugging Face and see what are their differences

Sidekick logo Sidekick

Email tracking plugin for Gmail.

Hugging Face logo Hugging Face

The Tamagotchi powered by Artificial Intelligence 🤗
  • Sidekick Landing page
    Landing page //
    2021-09-23
  • Hugging Face Landing page
    Landing page //
    2023-09-19

Sidekick videos

When Phones Were Fun: The Sidekick (2002-2010)

More videos:

  • Review - T-Mobile Sidekick LX 2009 review - part 1 of 3

Hugging Face videos

No Hugging Face videos yet. You could help us improve this page by suggesting one.

+ Add video

Category Popularity

0-100% (relative to Sidekick and Hugging Face)
CRM
100 100%
0% 0
Social & Communications
0 0%
100% 100
Productivity
19 19%
81% 81
AI
0 0%
100% 100

User comments

Share your experience with using Sidekick and Hugging Face. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, Hugging Face seems to be more popular. It has been mentiond 255 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.

Sidekick mentions (0)

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

Hugging Face mentions (255)

  • 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 / 8 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 / 7 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 / 15 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 1 month 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 / about 2 months ago
View more

What are some alternatives?

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

SalesLoft - The simpliest way to build the most accurate and targeted lists of leads on the internet

Replika - Your Ai friend

Streak - Manage customers inside Gmail

LangChain - Framework for building applications with LLMs through composability

Call Your Friends - Dramatically raise the quality of your friendships.

Mitsuku - Browser-based, AI chat bot.