Hugging Face
- Last updated: 22 Oct 2024
What is Hugging Face?
Hugging Face is a collaborative AI platform fostering the development and deployment of machine learning models. The platform is designed to support developers and researchers by providing access to a vast range of pre-trained models and datasets, catering to various AI tasks. With Hugging Face, you can create, share, and collaborate on models, fostering an open-source environment for AI innovation.
The platform supports seamless deployment of models using dedicated inference endpoints, making it easier for you to scale ML projects. Additionally, Hugging Face offers enterprise solutions, which include advanced features such as secure data handling and resource management, suitable for organizations demanding robust infrastructure for their AI solutions.
Furthermore, the platform is enriched with educational resources, tutorials, and community-driven content, enhancing your ability to leverage state-of-the-art technology in practical applications. It serves as a one-stop solution for AI professionals looking to push the boundaries of what’s possible with machine learning.
Hugging Face use cases
- If you’re a data scientist conducting NLP research or development.
- If you’re a software engineer deploying AI models at scale.
- If you’re an educator teaching AI and machine learning courses.
- If you’re a business leader implementing enterprise AI solutions.
- If you’re an ML enthusiast eager to experiment with new AI models.
Hugging Face functionalities
- Host unlimited models: Store and manage ML models.
- Collaborate on datasets: Share and use datasets.
- Deploy inference endpoints: Use secure ML model deployment.
- Access open-source tools: Leverage community-driven innovations.
Hugging Face review summary
Pros
People appreciate the quick resolution of issues, the seamless user experience, and the community's ability to share and reuse models. Hugging Face support is beneficial for finetuning pre-trained models, providing verified models, and aiding in the quick deployment of scripts.
Cons
The support response can be slow if you work with older model repositories. Some wish for expert support options before reaching an enterprise level, and there is a demand for more model usage guides through demo videos or notebooks.
Quick Resolution
Finetuning, inferencing, and deployment scripts receive quick resolution.
Delayed Support for Old Repositories
Support response can be slower for outdated model repositories, leaving developers stranded.
Quick resolution of Finetuning, Inferencing, Deployment scripts.
If Model repository was latest, they will give the support or resolution quickly. But if repository was old, we cant expect a quick reply or support from them.
Seamless User Experience
Hugging Face support provides a seamless user experience, especially beneficial for resolving doubts through GitHub or other platforms.
Lack of Intermediate Expert Support
Some people desire expert support options without needing an enterprise account.
Seamless user experience and quick support
I would have loved to try the expert support by paying some amount before the Enterprise level as we might not be that big to get ourselves the Enterprise account.
Community Contributions
The community aids by adding and reusing models, ensuring access to the best-verified options.
Need for More Tutorials
There is a request for model usage guides using demo videos or notebooks.
The community adding and re-using models. Help us get the best-verified models for us to try.
Model usage guide using demo videos/notebooks can be introduced
Pros
People appreciate the quick resolution of issues, the seamless user experience, and the community's ability to share and reuse models. Hugging Face support is beneficial for finetuning pre-trained models, providing verified models, and aiding in the quick deployment of scripts.
Quick Resolution
Finetuning, inferencing, and deployment scripts receive quick resolution.
Quick resolution of Finetuning, Inferencing, Deployment scripts.
Seamless User Experience
Hugging Face support provides a seamless user experience, especially beneficial for resolving doubts through GitHub or other platforms.
Seamless user experience and quick support
Community Contributions
The community aids by adding and reusing models, ensuring access to the best-verified options.
The community adding and re-using models. Help us get the best-verified models for us to try.
Cons
The support response can be slow if you work with older model repositories. Some wish for expert support options before reaching an enterprise level, and there is a demand for more model usage guides through demo videos or notebooks.
Delayed Support for Old Repositories
Support response can be slower for outdated model repositories, leaving developers stranded.
If Model repository was latest, they will give the support or resolution quickly. But if repository was old, we cant expect a quick reply or support from them.
Lack of Intermediate Expert Support
Some people desire expert support options without needing an enterprise account.
I would have loved to try the expert support by paying some amount before the Enterprise level as we might not be that big to get ourselves the Enterprise account.
Need for More Tutorials
There is a request for model usage guides using demo videos or notebooks.
Model usage guide using demo videos/notebooks can be introduced
Hugging Face user reviews
Hugging face Model repositories and...
What do you like best about Hugging Face Support?
Quick resolution of Finetuning, Inferencing, Deployment scripts. Review collected by and hosted...
Quick resolution of Finetuning, Inferencing, Deployment scripts. Review collected by and hosted...
What do you like best about Hugging Face Support?
Quick resolution of Finetuning, Inferencing, Deployment scripts. Review collected by and hosted on G2.com.
What do you dislike about Hugging Face Support?
If Model repository was latest, they will give the support or resolution quickly. But if repository was old, we cant expect a quick reply or support from them. So this make Developer struck in between. Review collected by and hosted on G2.com.
Recommendations to others considering Hugging Face Support:
I actively recommend to all because it is a open source and atleast giving some idea on how to get start easily. As already few worked on it and can learn from them. Review collected by and hosted on G2.com.
What problems is Hugging Face Support solving and how is that benefiting you?
While finetuning a pretrained model, we may get many errors which will take somuch time to resolve. Hugging face support helps me if i raise a issue & screenshot. They helped me while finetuning ASR models. Review collected by and hosted on G2.com.
Quick resolution of Finetuning, Inferencing, Deployment scripts. Review collected by and hosted on G2.com.
What do you dislike about Hugging Face Support?
If Model repository was latest, they will give the support or resolution quickly. But if repository was old, we cant expect a quick reply or support from them. So this make Developer struck in between. Review collected by and hosted on G2.com.
Recommendations to others considering Hugging Face Support:
I actively recommend to all because it is a open source and atleast giving some idea on how to get start easily. As already few worked on it and can learn from them. Review collected by and hosted on G2.com.
What problems is Hugging Face Support solving and how is that benefiting you?
While finetuning a pretrained model, we may get many errors which will take somuch time to resolve. Hugging face support helps me if i raise a issue & screenshot. They helped me while finetuning ASR models. Review collected by and hosted on G2.com.
Read more
Read less
Best thing ever happened to the AI ...
What do you like best about Hugging Face Support?
The community adding and re-using models. Help us get the best-verified models for us to try. R...
The community adding and re-using models. Help us get the best-verified models for us to try. R...
What do you like best about Hugging Face Support?
The community adding and re-using models. Help us get the best-verified models for us to try. Review collected by and hosted on G2.com.
What do you dislike about Hugging Face Support?
Everything is good. Community support is great. I would have loved to try the expert support by paying some amount before the Enterprise level as we might not be that big to get ourselves the Enterprise account. Review collected by and hosted on G2.com.
Recommendations to others considering Hugging Face Support:
If you need AI to build your platform, you should definitely be using Hugging face and the community it provides. Review collected by and hosted on G2.com.
What problems is Hugging Face Support solving and how is that benefiting you?
We are AI company, the first place we search for pre-trained AI models to be later tuned for our use case is Hugging Face. Review collected by and hosted on G2.com.
The community adding and re-using models. Help us get the best-verified models for us to try. Review collected by and hosted on G2.com.
What do you dislike about Hugging Face Support?
Everything is good. Community support is great. I would have loved to try the expert support by paying some amount before the Enterprise level as we might not be that big to get ourselves the Enterprise account. Review collected by and hosted on G2.com.
Recommendations to others considering Hugging Face Support:
If you need AI to build your platform, you should definitely be using Hugging face and the community it provides. Review collected by and hosted on G2.com.
What problems is Hugging Face Support solving and how is that benefiting you?
We are AI company, the first place we search for pre-trained AI models to be later tuned for our use case is Hugging Face. Review collected by and hosted on G2.com.
Read more
Read less
Great community and forum to discus...
What do you like best about Hugging Face Support?
Seamless user experience and quick support Review collected by and hosted on G2.com.
What ...
Seamless user experience and quick support Review collected by and hosted on G2.com.
What ...
What do you like best about Hugging Face Support?
Seamless user experience and quick support Review collected by and hosted on G2.com.
What do you dislike about Hugging Face Support?
Model usage guide using demo videos/notebooks can be introduced Review collected by and hosted on G2.com.
Recommendations to others considering Hugging Face Support:
Should try it out in case of any doubts and queries Review collected by and hosted on G2.com.
What problems is Hugging Face Support solving and how is that benefiting you?
Hugging Face is a fantastic resource for using pre-trained NLP models and Hugging face support provides a seamless user experience for resolving doubts through the GitHub issues section/Twitter community/official documentation and much more Review collected by and hosted on G2.com.
Seamless user experience and quick support Review collected by and hosted on G2.com.
What do you dislike about Hugging Face Support?
Model usage guide using demo videos/notebooks can be introduced Review collected by and hosted on G2.com.
Recommendations to others considering Hugging Face Support:
Should try it out in case of any doubts and queries Review collected by and hosted on G2.com.
What problems is Hugging Face Support solving and how is that benefiting you?
Hugging Face is a fantastic resource for using pre-trained NLP models and Hugging face support provides a seamless user experience for resolving doubts through the GitHub issues section/Twitter community/official documentation and much more Review collected by and hosted on G2.com.
Read more
Read less
Overall
You can expect quick support for finetuning, inferencing, and deployment with Hugging Face. The seamless user experience and active community make it a go-to source for pre-trained models. However, if you’re using older repositories, brace for potential delays. Also, while community support is strong, those wanting expert help without a big budget might find limited options. You’ll also find model usage tutorials sparse, though many still swear by the platform’s helpfulness. Overall sentiment leans positive, particularly among those using up-to-date resources.
Hugging Face pricing
The Hugging Face platform offers various pricing plans for its services, catering to different user needs. Here’s a breakdown of the available pricing options:
| Feature | Free | Pro Account | Enterprise Hub |
|---|---|---|---|
| Price | Free | $9/month | Starting at $20 per user per month |
| Model Hosting | Unlimited | Advanced features access | Enhanced security & controls |
| Storage | – | – | Storage Regions selection |
| Support | Community | Priority support | Priority support |
| Features | Latest ML tools | ZeroGPU and Dev Mode | Granular access control |
Additional options include:
- Spaces Hardware: Upgrade your compute options for Spaces, starting at $0/hour.
- Inference Endpoints: Deploy models on managed infrastructure starting at $0.032/hour.
- Spaces Persistent Storage: Add storage from $5/month for 20 GB.
The platform also offers the ability to upgrade your Spaces with customized hardware solutions as needed, with hourly rates based on the required configuration.
User reviews
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Hugging Face FAQ
What is Hugging Face?
Hugging Face is a platform and community working to advance and democratize artificial intelligence through open source and open science.
What can you do on Hugging Face?
You can create, discover, and collaborate on machine learning models, datasets, and applications. You can also host projects, access ML tools, and participate in the community.
How can you start using Hugging Face?
You can start by signing up on the website to begin exploring models, datasets, and collaborate with the community.
What pricing options does Hugging Face offer?
Hugging Face provides several pricing plans including a free tier, a Pro account at $9 per month, and an Enterprise Hub starting at $20 per user per month.
Can companies use Hugging Face?
Yes, over 50,000 organizations use Hugging Face, including well-known companies like Meta, Google, Microsoft, and Amazon.
What is the Hugging Face Hub?
The Hugging Face Hub is a central platform for exploring, experimenting, and building with machine learning technology.
Is Hugging Face open source?
Yes, Hugging Face is committed to building the foundation of machine learning tools with an open-source community.
What is the purpose of Hugging Face's Spaces?
Spaces on Hugging Face is for sharing ML applications and demos. They’re a popular way to showcase AI projects with the world.
What type of machine learning tasks does Hugging Face support?
Hugging Face supports tasks across different modalities such as text, image, audio, and 3D, including natural language processing, computer vision, and more.
Does Hugging Face offer any learning resources?
Yes, Hugging Face offers courses, blog articles, and tutorials on various aspects of machine learning and AI.
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About the author
M. Kooiker
As an experienced online marketeer with a longstanding interest in AI, I've immersed myself in the latest AI advancements in recent years. Passionate about innovation, I actively test AI tools and dedicate myself to guiding users in selecting the right technology. My mission is to connect people with cutting-edge AI solutions.