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Average Ratings 0 Ratings

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ease
features
design
support

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Write a Review

Description

Transformers is a versatile library that includes pretrained models for natural language processing, computer vision, audio, and multimodal tasks, facilitating both inference and training. With the Transformers library, you can effectively train models tailored to your specific data, create inference applications, and utilize large language models for text generation. Visit the Hugging Face Hub now to discover a suitable model and leverage Transformers to kickstart your projects immediately. This library provides a streamlined and efficient inference class that caters to various machine learning tasks, including text generation, image segmentation, automatic speech recognition, and document question answering, among others. Additionally, it features a robust trainer that incorporates advanced capabilities like mixed precision, torch.compile, and FlashAttention, making it ideal for both training and distributed training of PyTorch models. The library ensures rapid text generation through large language models and vision-language models, and each model is constructed from three fundamental classes (configuration, model, and preprocessor), allowing for quick deployment in either inference or training scenarios. Overall, Transformers empowers users with the tools needed to create sophisticated machine learning solutions with ease and efficiency.

Description

Experience real-time facial animation powered by cloud technology. Sign up now for exclusive early access and transform your unique face designs with the ZRT Face Trainer. This cutting-edge technology enables any face mesh to express intricate emotions in real-time. The ZRT Face Trainer utilizes an extensive library of 4D data along with advanced machine learning algorithms to achieve stunning results. In less than an hour, your character mesh will be enhanced with some of the most sophisticated technology available in the gaming industry. With over 15TB of 4D scan data at its core, the ZRT Face Trainer allows face puppets to exhibit more than 72,000 distinct training shapes and innovative facial poses. Remarkably, these ZRT face puppets maintain a lightweight footprint of just 30MB during runtime, achieving real-time performance at a speed of 3ms per frame on a single CPU thread. It is essential to note that all inputs for the ZRT Face Trainer must undergo a registration process to ensure effective training, as the accuracy of this registration will significantly impact the overall quality of the facial animation generated. This innovative approach promises to redefine the standards of character animation in interactive media.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Hugging Face
Maya
PyTorch
Unreal Engine

Integrations

Hugging Face
Maya
PyTorch
Unreal Engine

Pricing Details

$9 per month
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Hugging Face

Founded

2016

Country

United States

Website

huggingface.co/docs/transformers/en/index

Vendor Details

Company Name

Ziva Dynamics

Country

Canada

Website

zivadynamics.com/zrt-face-trainer

Product Features

3D Modeling

2D Drawing
Animation
Annotations
Bill of Materials
Character Modeling
Collaboration Tools
Component Library
Data Import / Export
For 3D Printing
For Architects
For Manufacturers
Reference Management
Simulation

Game Development

2D
3D
Analytics
Animation
Asset Management
Drag & Drop
IT Asset Management
Network Management
Physics
Player Management
Prototyping
Virtual Reality
eCommerce

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