Hugging Face vs. Oracle Machine Learning

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

OAC doesn't require software to be installed since it is browser based. This allows for easier deployment since a local client software is not required to be installed for each user. OAC can be used for the casual light user who mainly consumes data to the power user who can created sophisticated dashboard with advanced analytics. OAC is not meant to replace Essbase reporting.

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

• Analyzing heaps of data dumped into the machine learning tool.
• Giving the researcher an insight on which direction to proceed in order to get the desired results.
• Can help perform a functional analysis before doing a deep dive.

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

• As mentioned by others the formatting of reports constantly has issues
• Once your initial contract terms are up be prepared for a significant increase
• Pricing needs to be inline with what other competitors are offering

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

Sorry this product was not selected by me, but was a legacy install that was upgraded. I see the value in the product, however, I was not involved in the selection process.

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

• Our ROI has been great since we have been able to get a birdseye view of our business operations.
• Shows your areas within your company that needs attention and improvements.
• Oracle has had a positive impact on all of our business objectives since it provides a clear view of your business operations.

Incentivized