Hugging Face review from a cloud Data Scientist
December 07, 2022

Hugging Face review from a cloud Data Scientist

Ivan Cui | TrustRadius Reviewer
Score 9 out of 10
Vetted Review
Verified User

Overall Satisfaction with Hugging Face

I have use Hugging Face to develop Natural Language Processing applications for other amazon web services customers. Some of the common applications are intelligent document processing, call center support, machine translation, sentiment analysis and so on. These Hugging Face solutions are implemented on the cloud for easier manage and maintain as well.
  • Easy to use API
  • Super well integrated to o cloud
  • Large community
  • Better documentation
  • Have dedicated support
  • Open source
  • Simple to use
  • Rich api
  • Increase use case number
  • Support more features
  • Increase ROI
  • decreased development time
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.

Do you think Hugging Face delivers good value for the price?

Yes

Are you happy with Hugging Face's feature set?

Yes

Did Hugging Face live up to sales and marketing promises?

Yes

Did implementation of Hugging Face go as expected?

Yes

Would you buy Hugging Face again?

Yes

If your organization is looking for a fast turn around development time on natural language processing machine learning use case, and your organization is also well developed on cloud platforms such as google cloud or amazon web services, then implementing Hugging Face into your solution is a very good idea