What is Hugging Face?
Build, train, and deploy state of the art models powered by the reference open source in machine learning.
Hugging Face is a tool in the Large Language Model Tools category of a tech stack.
Who uses Hugging Face?
Companies
7 companies reportedly use Hugging Face in their tech stacks, including Newzera, Startup Bakery, and WED.
Developers
13 developers on StackShare have stated that they use Hugging Face.
Hugging Face Integrations
Transformers, Milvus, LLM, Haystack NLP Framework, and Gorilla are some of the popular tools that integrate with Hugging Face. Here's a list of all 41 tools that integrate with Hugging Face.
Hugging Face's Features
- Create, discover and collaborate on ML better
- Thousands of creators work as a community to solve Audio, Vision, and Language with AI
Hugging Face Alternatives & Comparisons
What are some alternatives to Hugging Face?
LangChain
It is a framework built around LLMs. It can be used for chatbots, generative question-answering, summarization, and much more. The core idea of the library is that we can “chain” together different components to create more advanced use cases around LLMs.
LLM
It is a Rust ecosystem of libraries for running inference on large language models, inspired by llama.cpp. On top of llm, there is a CLI application, llm-cli, which provides a convenient interface for running inference on supported models.
Haystack NLP Framework
Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-4, ChatGPT, etc.). It offers production-ready tools to build NLP backend services, e.g., question answering or semantic search.
Haystack NLP Framework
Haystack is an open source NLP framework to interact with your data using Transformer models and LLMs (GPT-4, ChatGPT, etc.). It offers production-ready tools to build NLP backend services, e.g., question answering or semantic search.
AnythingLLM
It is a full-stack application and tool suite that enables you to turn any document, resource, or piece of content into a piece of data that any LLM can use as reference during chatting. This application runs with very minimal overhead as by default the LLM and vectorDB are hosted remotely, but can be swapped for local instances.
Related Comparisons
No related comparisons found