Hugging Face

The AI community building the future.

5.0•79 reviews•

2.6K followers

The AI community building the future.

5.0•79 reviews•

2.6K followers

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LLMs

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AI Infrastructure Tools

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Hugging Face Reviews

The community submitted 79 reviews to tell us what they like about Hugging Face, what Hugging Face can do better, and more.

5.0

Based on 79 reviews

Review Hugging Face?

Reviewers mostly see Hugging Face as the central hub for open AI work: a place to find models, datasets, libraries, and Spaces in one ecosystem, with Transformers repeatedly praised as easy to use and broadly useful. Users like the openness, strong model performance, and the way the platform makes AI easier to explore across teams. Founders of Inrō, Vela Partners, and Resemble AI also point to practical value in inference endpoints, dataset hosting, and simple Spaces setup. The main criticism is onboarding: newcomers can find the terminology and upload flow confusing.

+76

Summarized with AI

Pros

open source models (14)

AI community (8)

model hub (6)

ease of use (5)

AI model repository (4)

community support (4)

open datasets (4)

collaboration on AI models (3)

inference endpoints (3)

dataset curation (2)

Cons

computationally heavy models (2)

Pros

Cons

Tines Build agents & automations integrated across your workspace

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Reviews

All Reviews

Most Informative

used Hugging Face to build Risky Text

•2 reviews

Our app leverages Hugging Face services. Their machine learning models and APIs contributed to the development of key features. Hugging Face's tools simplified the integration of AI capabilities into our iOS application.

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4 views2yr ago

used Hugging Face to build Not Diamond

•7 reviews

Hugging Face's work in supporting a rich and open model ecosystem have been pivotal to our underlying recommendation engine.

What's great

open source models (14)AI model repository (4)

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1 view2yr ago

used Hugging Face to build ModelHub

•6 reviews

Hugging Face is the default home for models, datasets, and tooling, and its ecosystem made it way easier to integrate and experiment than the other platforms.

Alternatives Considered

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2 views12d ago

Atla

•2 reviews

My go to for open source releases, looking into datasets, now even deploying models with inference endpoints..

What's great

open source models (14)inference endpoints (3)open datasets (4)

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1 view1yr ago

used Hugging Face to build WordPath

•3 reviews

Excellent for experimenting with different LLMs with just a few lines of code, instead of wrestling with ML infrastructure.

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1yr ago

used Hugging Face to build Officely AI

•8 reviews

We use Hugging Face as an endpoint in our team builder flow; you can combine any model from hugging face in your flow

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2yr ago

used Hugging Face to build Cure AI

•15 reviews

Their tools helped us push the limits of what natural language processing can do for scientific research.

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1yr ago

IngestAI

•4 reviews

Congratulations on the launch! It's fantastic to see the increasing number of open-source large language models available online. If you offer an API, we would be thrilled to integrate it with IngestAI 🚀 and explore the potential synergies. Keep up the great work!

What's great

open source models (14)

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13 views3yr ago

used Hugging Face to build LumiChats Offline(free) instead of Ollama

•3 reviews

Hugging Face is where we host all of our open-source fine-tuned LumiChats models — the 4B instruct model, 7B 4-bit, 11B vision, coder, and TTS models. Their platform made it possible to share everything we built with the open-source community for free, and gave our users a trusted place to discover and download our models.

Alternatives Considered

Ollama

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1 view28d ago

used Hugging Face to build Truelink

•9 reviews

We leverage Hugging Face’s pre-trained NLP models to analyze suspicious URLs and content. This enables Truelink to detect phishing, malware, and scam patterns in real-time using advanced AI language understanding.

What's great

NLP capabilities (2)pre-trained models (2)

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2 views1yr ago

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