Hugging Face Reviews

Name: Hugging Face
Brand: Hugging Face
Rating: 5 (3 reviews)

4.5 out of 5

3 reviews
100% willing to recommend

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The AI community building the future. Build, train and deploy state of the art models powered by the reference open source in machine learning.

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Hugging Face is the #8 ranked solution in top AI Development Platforms. PeerSpot users give Hugging Face an average rating of 9.0 out of 10. Hugging Face is most commonly compared to Microsoft Azure Machine Learning Studio: Hugging Face vs Microsoft Azure Machine Learning Studio. Hugging Face is popular among the large enterprise segment, accounting for 64% of users researching this solution on PeerSpot. The top industry researching this solution are professionals from a computer software company, accounting for 12% of all views.

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April 2024

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Helped 768,857 peers since 2012

Featured reviews

Vikas Singhvi

Founder at AIM

Dec 26, 2023

I started using Hugging Face because I'm still prototyping. Other vendors are pretty managed offerings with many costs in getting code built out, whereas Hugging Face is free. Alternatives like Vertex OpenAI and Azure OpenAI offer access to large language models, but most platforms are closed and restrict fine-tuning. This is where Hugging Face shines. Its open nature allows for fine-tuning of models, providing a significant advantage. Additionally, if data security is a concern, enterprises can deploy their own Hugging Face model as an endpoint or local instance, avoiding the need to send data to externally managed offerings. This flexibility and control over data makes Hugging Face a compelling choice for producing large language models.

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Seza Dursun

Senior Data Science Consultant at TUPRAS

Dec 11, 2023

My preferred aspects are natural language processing and question-answering. It aids us in efficiently discovering effective features and models. The ability to enlarge and tag faces has assisted me in finding effective and well-documented packages. I incorporate their favored methods and utilize…

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Tong Zhang

Lead RND Engineer, Data Scientist at a healthcare company with 11-50 employees

Sep 4, 2023

I mainly use it for machine learning and AI. It's for a large language model, like LLaMA Hugging Face has helped me in many ways. For example, I can check the leading board and see which model gives the best performance. Another thing I can do is use an exact Q code to deploy and test the model.…

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Hugging Face market share

As of March 2024, the market share of Hugging Face in the AI Development Platforms category stands at 8.2%, marking an increase of 40.5% compared to the previous year, according to calculations based on PeerSpot user engagement data.

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Key learnings from peers

Valuable Features

"My preferred aspects are natural language processing and question-answering."
"What I find the most valuable about Hugging Face is that I can check all the models on it and see which ones have the best performance without using another platform."

Room for Improvement

"Implementing a cloud system to showcase historical data would be beneficial."
"The area that needs improvement would be the organization of the materials. It could be clearer and more systematic. It would be good if the layout was clear and we could search the models easily."