Appen vs. Hugging Face

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Appen
Score 7.1 out of 10
N/A
The Appen platform combines human intelligence from over one million people all over the world with models to create training data for ML projects. Appen users can upload data to the Appen platform, and they provide the annotations, judgments, and labels needed to help create ground truth for models.N/A
Hugging Face
Score 9.4 out of 10
N/A
Hugging Face is an open-source provider of natural language processing (NLP) technologies.
$9
per month
Pricing
AppenHugging Face
Editions & Modules
No answers on this topic
Pro Account
$9
per month
Enterprise Hub
$20
per month per user
Offerings
Pricing Offerings
AppenHugging Face
Free Trial
NoNo
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Best Alternatives
AppenHugging Face
Small Businesses
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
Medium-sized Companies
Posit
Posit
Score 9.2 out of 10
Posit
Posit
Score 9.2 out of 10
Enterprises
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
IBM SPSS Modeler
IBM SPSS Modeler
Score 7.8 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AppenHugging Face
Likelihood to Recommend
10.0
(1 ratings)
9.3
(6 ratings)
User Testimonials
AppenHugging Face
Likelihood to Recommend
Appen
It is well suited for the users and potential employee who are free of any job perspective and need their free time to be utilized. Users can use their free time to be used for submission of interesting tasks.
Whereas the number of tasks are very less and processing time is also very extensive and recruitment takes time more.
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Hugging Face
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
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Pros
Appen
  • Project listing
  • Hiring of the potential and qualified users
  • Tracking of the projects
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Hugging Face
  • Model APIs
  • Hugging Face Spaces for deploying demo apps
  • Latest updated models available easily
  • Vast support for language parsing and other relevant tasks
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Cons
Appen
  • Selection procedure is bit .
  • The questionnaire need to be reviewed.
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Hugging Face
  • 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.
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Alternatives Considered
Appen
Appen offers projects mostly related to my native language and also according to my expertise . It offers very interesting projects to be completed , which requires not very expertise and less time to be completed for each task. It is also very convenient to use after selection for the task and also well rewarding against the time consumed for the task completion.
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Hugging Face
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.
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Return on Investment
Appen
  • It has Positive impact as it provides opportunity for new jobs in my area of expertise.
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Hugging Face
  • Hugging Face is cost and time saving.
  • Pay is less, you pay what you use, doesn't affect much.
  • Overall positive impact on business.
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ScreenShots

Hugging Face Screenshots

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