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Hugging Face Review

2

Β·

Very good

Revainrating 4.5 out of 5Β Β 
RatingΒ 
4.6
Artificial Intelligence, Conversational Intelligence

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Description of Hugging Face

Build, train and deploy state of the art models powered by the reference open source in natural language processing.

Reviews

Global ratings 2
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  • 4
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Type of review

Revainrating 5 out of 5

Fast Automatic Tagging Tool, especially good in case of multi language

I like that it is free to use for non-commercial purposes (as long as you don't have any ads). It has all tools needed out there including tokenizers/taggers etc., so if something isn’t covered then just make your own! The interface could be more intuitive but overall this tool works great when working with multiple languages or projects at once without having too much trouble finding specific tokens within files quickly - even though sometimes they can get quite large texts which doesn;' t…

Pros
  • Very versatile machine learning library.
  • Can also train model directly from Python code instead running command line script only available in hugo environment..It covers almost whole process starting before training up until post processing analysis step where outputs data may go over via csv file easily exported by python scripts using pandas package
Cons
  • Nothing here

Revainrating 4 out of 5

Awesome tool, just like every other library from here

The best part is that it has all the tools to build an NLP model for any task you can think of! It's easy to use and comes with great documentation. I dislike how slow their website loads sometimes. Other than that everything works perfectly fine and there are no downsides at this point. We have been using NLTK for years but we were not able to get as much out of it compared to what we could do with Gensim. Thanks to HuggingFace our team was able to solve problems they didn't even know existed

Pros
  • Easy installation, good support via GitHub issues and slack channel where people actively try help each other solving tough tasks when needed (I had such issue few weeks ago :) )
Cons
  • Maybe too many options which make things more complicated during training process