Software Alternatives & Reviews

Text Classification by MonkeyLearn VS Hugging Face

Compare Text Classification by MonkeyLearn VS Hugging Face and see what are their differences

Text Classification by MonkeyLearn logo Text Classification by MonkeyLearn

Simple and customizable text classification with AI

Hugging Face logo Hugging Face

The Tamagotchi powered by Artificial Intelligence 🤗
  • Text Classification by MonkeyLearn Landing page
    Landing page //
    2021-07-26
  • Hugging Face Landing page
    Landing page //
    2023-09-19

Category Popularity

0-100% (relative to Text Classification by MonkeyLearn and Hugging Face)
API
100 100%
0% 0
Social & Communications
0 0%
100% 100
NLP And Text Analytics
100 100%
0% 0
Chatbots
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 252 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.

Text Classification by MonkeyLearn mentions (0)

We have not tracked any mentions of Text Classification by MonkeyLearn yet. Tracking of Text Classification by MonkeyLearn recommendations started around Mar 2021.

Hugging Face mentions (252)

  • 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 / 17 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 / 23 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 / 29 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 / 29 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
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What are some alternatives?

When comparing Text Classification by MonkeyLearn and Hugging Face, you can also consider the following products

NLP Cloud - High performance AI models, ready for production, served through a REST API. Fine-tune and deploy your own models. Easily use generative AI in production.

Replika - Your Ai friend

PyText - Facebook's open source conversational AI tech

LangChain - Framework for building applications with LLMs through composability

JAICP - JAICP (Just AI Conversational Platform) is a full-fledged conversational platform: scalable, NLP-powered, and secured. Build chatbots, voice assistants, smart devices in the snap of a finger

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