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Hugging Face
- Last updated: 4 Sep 2024
What is Hugging Face?
Hugging Face is an AI community platform that helps you advance and democratize artificial intelligence through open-source and open science. With a vast array of machine learning models, datasets, and applications, it allows you to collaborate and share your AI projects effectively. Whether you’re deploying models or building a portfolio, Hugging Face provides the infrastructure and support needed to accelerate your machine learning initiatives.
Hugging Face use cases
- If you’re a developer working on machine learning models and datasets.
- If you’re an AI researcher looking for collaboration tools and open-source resources.
- If you’re a data scientist needing an advanced platform for model deployment and compute.
- If you’re in academia or education and require tools for machine learning coursework and projects.
- If you’re part of an enterprise team needing secure, compliant AI infrastructure with support.
Hugging Face functionalities
- Host and collaborate: On unlimited models, datasets, and applications.
- Accelerate ML: With paid compute and enterprise solutions.
- Explore modalities: Text, image, video, audio, or even 3D.
- Build portfolio: Share work globally and build ML profile.
Hugging Face review summary
Pros
Many people appreciate Hugging Face Support for its quick resolution of issues, seamless user experience, and the vibrant community that aids in finding and reutilizing models. Individuals find it beneficial when fine-tuning pre-trained models and resolving various AI-related queries.
Cons
Some people are frustrated with the slow response time when dealing with older model repositories. There are also mentions of a desire for intermediate paid expert support options and additional learning resources like demo videos or notebooks.
Quick resolution of issues
People value the rapid and efficient support Hugging Face provides, especially when dealing with finetuning, inferencing, and deployment scripts.
Slow support for older model repositories
Support response time can be slow when dealing with older model repositories, causing delays for developers.
Quick resolution of Finetuning, Inferencing, Deployment scripts. Review collected by and hosted on G2.com.
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.
Community support
The community is praised for adding and re-using models, which helps individuals get the best-verified models to try out.
Lack of intermediate paid support options
There is a desire for expert support options available at a cost below the enterprise level for smaller companies.
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.
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.
Seamless user experience
People enjoy a smooth and hassle-free experience when interacting with Hugging Face Support.
Need for more learning resources
Some people wish for additional model usage guides using demo videos or notebooks.
Seamless user experience and quick support. Review collected by and hosted on G2.com.
Model usage guide using demo videos/notebooks can be introduced. Review collected by and hosted on G2.com.
Useful learning resources
Pre-trained models and support via various platforms like GitHub issues, Twitter community, and official documentation are highly beneficial.
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.
Pros
Many people appreciate Hugging Face Support for its quick resolution of issues, seamless user experience, and the vibrant community that aids in finding and reutilizing models. Individuals find it beneficial when fine-tuning pre-trained models and resolving various AI-related queries.
Quick resolution of issues
People value the rapid and efficient support Hugging Face provides, especially when dealing with finetuning, inferencing, and deployment scripts.
Quick resolution of Finetuning, Inferencing, Deployment scripts. Review collected by and hosted on G2.com.
Community support
The community is praised for adding and re-using models, which helps individuals get the best-verified models to try out.
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.
Seamless user experience
People enjoy a smooth and hassle-free experience when interacting with Hugging Face Support.
Seamless user experience and quick support. Review collected by and hosted on G2.com.
Useful learning resources
Pre-trained models and support via various platforms like GitHub issues, Twitter community, and official documentation are highly beneficial.
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.
Cons
Some people are frustrated with the slow response time when dealing with older model repositories. There are also mentions of a desire for intermediate paid expert support options and additional learning resources like demo videos or notebooks.
Slow support for older model repositories
Support response time can be slow when dealing with older model repositories, causing delays for developers.
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.
Lack of intermediate paid support options
There is a desire for expert support options available at a cost below the enterprise level for smaller companies.
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.
Need for more learning resources
Some people wish for additional model usage guides using demo videos or notebooks.
Model usage guide using demo videos/notebooks can be introduced. Review collected by and hosted on G2.com.
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
When considering Hugging Face Support, you can expect quick resolution of issues, a seamless user experience, and strong community support to help guide you through model utilization. You will benefit greatly if you’re working on fine-tuning pre-trained models or searching for reliable AI models. However, be prepared for slower response times when working with older repositories and a lack of intermediate paid support options. Additionally, you might find the learning resources a bit lacking, particularly in the form of demo videos or notebooks. Overall, the sentiment leans positively, with significant benefits for AI developers and users seeking community-driven support.
Hugging Face pricing
Here is the detailed pricing structure for various services offered:
| Forever Free | Pro | Enterprise | |
|---|---|---|---|
| Price per Month | Free | $9 | Starting at $20 per user |
| Unlimited Models, Datasets, and Spaces | Yes | Yes | Yes |
| ZeroGPU and Dev Mode for Spaces | No | Yes | Yes |
| Higher Rate Limits for Serverless Inference | No | Yes | Yes |
| Priority Support | No | No | Yes |
Spaces Hardware
| Name | CPU | Memory | Accelerator | VRAM | Hourly Price |
|---|---|---|---|---|---|
| CPU Basic | 2 vCPU | 16 GB | – | – | Free |
| CPU Upgrade | 8 vCPU | 32 GB | – | – | $0.03 |
| Nvidia T4 – Small | 4 vCPU | 15 GB | Nvidia T4 | 16 GB | $0.40 |
Spaces Persistent Storage
| Name | Storage | Monthly Price |
|---|---|---|
| Small | 20 GB | $5 |
| Medium | 150 GB | $25 |
| Large | 1 TB | $100 |
Inference Endpoints
| Provider | Architecture | vCPUs | Memory | Hourly Price |
|---|---|---|---|---|
| AWS | Intel Sapphire Rapids | 1 | 2 GB | $0.03 |
| AWS | Intel Sapphire Rapids | 8 | 16 GB | $0.27 |
| Azure | Intel Xeon | 1 | 2 GB | $0.06 |
User reviews
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Hugging Face FAQ
What is Hugging Face?
Hugging Face is a platform where the machine learning community collaborates on models, datasets, and applications.
What kind of tools does Hugging Face offer?
Hugging Face offers tools like models, datasets, spaces, inference endpoints, and various libraries like Transformers and Diffusers for AI and machine learning tasks.
How can I start using Hugging Face?
You can start using Hugging Face by signing up for an account on their website.
What are the pricing plans available on Hugging Face?
Hugging Face offers different pricing plans including a free tier, a Pro subscription starting at $9/month, and enterprise solutions starting at $20/user/month.
What is Hugging Face Pro?
Hugging Face Pro is a monthly subscription that provides advanced features like ZeroGPU, higher rate limits for serverless inference, early access to features, and more. It costs $9/month.
What are Spaces in Hugging Face?
Spaces are community-created applications and demos that let you interact with various machine learning models in areas like text, image, video, and audio.
What are Inference Endpoints?
Inference Endpoints are a fully-managed solution to deploy models on dedicated infrastructure for production, offering secure, scalable, and flexible deployment options.
What kind of hardware options are available for Spaces?
Hugging Face offers various hardware options for Spaces including CPUs, GPUs like Nvidia T4, L4, A10G, and A100, as well as TPU instances from Google.
How can I collaborate on Hugging Face?
You can collaborate by creating, sharing, and managing models, datasets, and Spaces on the Hugging Face Hub. The platform supports Git-based collaboration.
What open-source libraries does Hugging Face provide?
Hugging Face provides several open-source libraries including Transformers, Diffusers, Tokenizers, Safetensors, and more.
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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.