Fastest way to build complex models and deploy demo apps
December 09, 2022

Fastest way to build complex models and deploy demo apps

Anonymous | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with Hugging Face

We use Hugging Face APIs to import the models in our code (mostly language models with weights). This is very important use case as it makes the building part of model very easy. We don't have to spend much time refering to repositories, reading complex ReadMe's. Other than that, we deploy demo apps on the Hugging Face spaces using the gradio tool they provide. This helps in testing out the product very easily by not spending much time on making the UI and also not caring about the compute management.
  • Model APIs
  • Hugging Face Spaces for deploying demo apps
  • Latest updated models available easily
  • Vast support for language parsing and other relevant tasks
  • Facility to deploy on spaces but with better compute
  • Model APIs
  • Hugging Face spaces
  • Reduced the time spent drastically in building complex transformer models
  • Very quick deployment of demo apps, that reduces the time spent on making UIs

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

1. First point of start when looking to build something with transformer models. 2. Amazing community to handle your doubts / bugs. 3. Simple description of model and how to use it. 4. Never faced any bug related to size mismatch of weight, or wrong version. The weights and model always stay updated. 5. Very intuitive way to create apps using Gradio and one click deployment on Hugging Face spaces.