Hugging Face vs. MEGA

If an organisation has more access to data and have access to high end computers like GPUs it’s recommended to use Hugging face as it will give better accuracy than any other models. If an organisation having less data and has less access to GPUsis looking for decent performance then traditional algorithms are more appropriate than hugging face

Incentivized

MEGA is great for storing and syncing files across devices. It has a great web interface, as well as a sync tool for desktop and a mobile app that works very well on iPhone. (I have not used the Android version of the app.) I like the overall usability, as well as some of the features like the QR code and contact list functionality. I like the file versioning and file management features as well. What works less well for me is collaboration with other users, and file sharing among users. I have not been able to find a way to view all files shared with me from other users in the same view as my own files. In fact, when files are shared with me, the only way I have been able to locate them is through Notifications, which is sub-par. I would much prefer to see all shared folders alongside my files, without having to make a copy of the shared folder, thus losing the ability to sync with another user's changes, as well as using up my storage space.

Incentivized

• Model APIs
• Hugging Face Spaces for deploying demo apps
• Latest updated models available easily
• Vast support for language parsing and other relevant tasks

Incentivized

• Mega is very easy to use
• Mega has a solid referral program unlike others
• Mega is very secure

Incentivized

• Most of the Hugging face models are of big size, hence difficult to work if there is no access to high computational system like GPU.
• It’s good to have some visualization tool in hugging face for viewing model architecture.
• I recommend to implement hugging face lite version so that it can run on any system with less specifications.

Incentivized

• Sometimes the download rate drops by a lot, so the downloads take much longer.

Clean, contemporary UI that is heavily polished and works great. You can tell they did a lot of user testing with this, and have a top notch UI design team that really cares about the customer. A highly user-friendly service across platforms and form factors, I found their web, desktop and mobile apps to all be impeccably designed and consistent.

Incentivized

While I have never contacted customer support, there is a large user community that has posted solutions on third party websites to a number of common questions like how to share files, and how to access files that have been shared with you. When I received a 40 GB shared file, I was not able to find how to access it until I searched on Google to find a solution, which was easy to find. The large user community helps with support tremendously.

Incentivized

There are some other services offer similar capacity as to Hugging Face, but not entirely the same. For example, amazon web services have a machine learning service called Comprehend, which offer a set of easy to use APIs to do machine translation and entity recognition and some other common NLP use case.

Incentivized

The two apps Google Drive and MEGA provided free cloud storage but Google Drive grants just 15 GB not more as free to try, At that time MEGA granted us 50 GB at the beginning of use, which gave us a chance to use it with high capacity.

Incentivized

• Hugging Face is cost and time saving.
• Pay is less, you pay what you use, doesn't affect much.
• Overall positive impact on business.

Incentivized

• Positive ROI
• Easy to implement
• Substantial additional free storage with referral program

Incentivized