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What is Hugging Face?

Hugging Face is an AI-driven platform designed for developers, researchers, and businesses to collaborate on machine learning projects. The platform hosts an extensive collection of pre-trained models, datasets, and tools that can be used to solve complex problems in natural language processing, computer vision, and more. With open-source projects like Transformers and Diffusers, Hugging Face provides resources that help accelerate AI development and make machine learning accessible to a broader audience. The platform’s community-driven approach fosters innovation and continuous improvement in AI applications.

What is Edge Impulse?

Develop advanced embedded machine learning applications without the need for a Ph.D. by collecting data from various sources such as sensors, audio inputs, or cameras, utilizing devices, files, or cloud services to create customized datasets. Enhance your workflow with automatic labeling tools that cover a spectrum from object detection to audio segmentation. Create and run reusable scripts that can efficiently handle large datasets in parallel through our cloud platform, promoting efficiency. Integrate custom data sources, continuous integration and delivery tools, and deployment pipelines seamlessly by leveraging open APIs to boost your project's functionality. Accelerate the creation of personalized ML pipelines by utilizing readily accessible DSP and ML algorithms that make the process easier. Carefully evaluate hardware options by reviewing device performance in conjunction with flash and RAM specifications throughout the development phases. Utilize Keras APIs to customize DSP feature extraction processes and develop distinct machine learning models. Refine your production model by examining visual insights pertaining to datasets, model performance, and memory consumption. Aim to find the perfect balance between DSP configurations and model architectures while remaining mindful of memory and latency constraints. Additionally, regularly update your models to adapt to evolving needs and advancements in technology, ensuring that your applications remain relevant and efficient. Staying proactive in model iteration not only enhances performance but also aligns your project with the latest industry trends and user needs.

Media

Media

Integrations Supported

01.AI
Amazon EC2 Trn2 Instances
Amazon SageMaker Unified Studio
BurpGPT
Camunda
Codestral Mamba
Defense Unicorns
Hugging Face Transformers
Intel Open Edge Platform
Mystic
Phi-4
Pinecone
Qwen
SmolLM2
Supastarter
Teuken 7B
TrueFoundry
Weave
bolt.diy
brancher.ai

Integrations Supported

01.AI
Amazon EC2 Trn2 Instances
Amazon SageMaker Unified Studio
BurpGPT
Camunda
Codestral Mamba
Defense Unicorns
Hugging Face Transformers
Intel Open Edge Platform
Mystic
Phi-4
Pinecone
Qwen
SmolLM2
Supastarter
Teuken 7B
TrueFoundry
Weave
bolt.diy
brancher.ai

API Availability

Has API

API Availability

Has API

Pricing Information

$9 per month
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

Hugging Face

Date Founded

2016

Company Location

United States

Company Website

huggingface.co

Company Facts

Organization Name

Edge Impulse

Company Location

United States

Company Website

edgeimpulse.com/product

Categories and Features

Artificial Intelligence

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

Machine Learning

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

Categories and Features

Machine Learning

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

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