Best starting point for NLP projects
We use Hugging Face models and datasets to design, test a compare multiple approaches for ML projects and, and in general, for research …
Starting at $9 per month
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What is Hugging Face?
Hugging Face is an open-source provider of natural language processing (NLP) technologies.
Recent Reviews
Pricing
Pro Account
$9
Cloud
per month
Enterprise Hub
$20
Cloud
per month per user
Entry-level set up fee?
- No setup fee
For the latest information on pricing, visithttps://huggingface.co/pricing
Offerings
- Free Trial
- Free/Freemium Version
- Premium Consulting/Integration Services
Starting price (does not include set up fee)
- $9 per month
Product Demos
YouTube Video Transcript Summarizer | Hugging Face Speech-to-Text ASR | Video Summarizer Project
YouTube
Webinar: Special NLP Session with Hugging Face
YouTube
FourthBrain and Hugging Face demo on Building NLP Applications with Transformers
YouTube
TrOCR Transformer-based Optical Character Recognition Microsoft Hugging Face TrOCR Demo
YouTube
GPT-3 Alternative - OPT-175B Hugging Face Language Model Tutorial
YouTube
Easy Custom NLP T5 Model Training Tutorial - Abstractive Summarization Demo with SimpleT5
YouTube
Product Details
- About
- Competitors
- Tech Details
- FAQs
What is Hugging Face?
Hugging Face is an open-source provider of natural language processing (NLP) technologies. The company develops a chatbot applications used to offer a personalized AI-powered communication platform. Its platform analyzes the user's tone and word usage to decide what current affairs it may chat about or what GIFs to send that enable users to chat based on emotions and entertainment.
Hugging Face Screenshots
Hugging Face Video
Product Presentation
Hugging Face Competitors
- Kofax TotalAgility
- NLTK
- Microsoft Knowledge Exploration Service
Hugging Face Technical Details
| Deployment Types | Software as a Service (SaaS), Cloud, or Web-Based |
|---|---|
| Operating Systems | Unspecified |
| Mobile Application | No |
Frequently Asked Questions
Hugging Face is an open-source provider of natural language processing (NLP) technologies.
Hugging Face starts at $9.
Kofax TotalAgility are common alternatives for Hugging Face.
The most common users of Hugging Face are from Mid-sized Companies (51-1,000 employees).
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Reviews and Ratings
(10)Reviews
(1-6 of 6)Companies can't remove reviews or game the system. Here's why
December 10, 2022
Best starting point for NLP projects
- NLP models
- NLP datasets
- Version control for models and datasets.
- phonetic models
- phonetic datasets
- Has access to hundreds of models useful for any NLP usecase.
- Gives better accuracy on prediction tasks.
- Easy to test the model in the website itself to check the accuracy without actually implementing it.
- Has many algorithms for all the prediction problems.
- 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.
December 09, 2022
Fastest way to build complex models and deploy demo apps
- 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
December 07, 2022
Hugging Face review from a cloud Data Scientist
- Easy to use API
- Super well integrated to o cloud
- Large community
- Better documentation
- Have dedicated support
December 06, 2022
Must have for all NLP needs
- NLP
- Neural Network
- Open Source
- Difficult to find certain models
- Lacking descriptions
November 28, 2022
A great collection of vast libraries for ML models...!
- Great collections of ML libraries (transformers)
- Well Documented in multi language.
- Perform complex transformations.
- Open source driven community
- Libraries documentations can be improved.
- sometime hard to select appropriate libraries.
- Can add more features.