Audience

AI developers, researchers, data scientists, and businesses looking for a comprehensive platform to collaborate, share, and utilize machine learning models and datasets for various applications

About Hugging Face

Hugging Face is a leading platform for AI and machine learning, offering a vast hub for models, datasets, and tools for natural language processing (NLP) and beyond. The platform supports a wide range of applications, from text, image, and audio to 3D data analysis. Hugging Face fosters collaboration among researchers, developers, and companies by providing open-source tools like Transformers, Diffusers, and Tokenizers. It enables users to build, share, and access pre-trained models, accelerating AI development for a variety of industries.

Pricing

Starting Price:
$9 per month
Free Version:
Free Version available.

Integrations

API:
Yes, Hugging Face offers API access

Ratings/Reviews

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Company Information

Hugging Face
Founded: 2016
United States
huggingface.co

Videos and Screen Captures

Hugging Face Screenshot 1
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Product Details

Platforms Supported
Cloud
Training
Documentation
Support
Online

Hugging Face Frequently Asked Questions

Q: What kinds of users and organization types does Hugging Face work with?
Q: What languages does Hugging Face support in their product?
Q: What kind of support options does Hugging Face offer?
Q: What other applications or services does Hugging Face integrate with?
Q: Does Hugging Face have an API?
Q: What type of training does Hugging Face provide?
Q: How much does Hugging Face cost?

Hugging Face Product Features

Artificial Intelligence

For Healthcare
Multi-Language
Chatbot
For Sales
Rules-Based Automation
Machine Learning
Natural Language Processing
Predictive Analytics
Virtual Personal Assistant (VPA)
Process/Workflow Automation
For eCommerce
Image Recognition

Machine Learning

Deep Learning
ML Algorithm Library
Model Training
Natural Language Processing (NLP)
Predictive Modeling
Templates
Visualization
Statistical / Mathematical Tools

Hugging Face Additional Categories