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features
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support

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Description

Hugging Face is an AI community platform that provides state-of-the-art machine learning models, datasets, and APIs to help developers build intelligent applications. The platform’s extensive repository includes models for text generation, image recognition, and other advanced machine learning tasks. Hugging Face’s open-source ecosystem, with tools like Transformers and Tokenizers, empowers both individuals and enterprises to build, train, and deploy machine learning solutions at scale. It offers integration with major frameworks like TensorFlow and PyTorch for streamlined model development.

Description

Effortlessly switch between eager and graph modes using TorchScript, while accelerating your journey to production with TorchServe. The torch-distributed backend facilitates scalable distributed training and enhances performance optimization for both research and production environments. A comprehensive suite of tools and libraries enriches the PyTorch ecosystem, supporting development across fields like computer vision and natural language processing. Additionally, PyTorch is compatible with major cloud platforms, simplifying development processes and enabling seamless scaling. You can easily choose your preferences and execute the installation command. The stable version signifies the most recently tested and endorsed iteration of PyTorch, which is typically adequate for a broad range of users. For those seeking the cutting-edge, a preview is offered, featuring the latest nightly builds of version 1.10, although these may not be fully tested or supported. It is crucial to verify that you meet all prerequisites, such as having numpy installed, based on your selected package manager. Anaconda is highly recommended as the package manager of choice, as it effectively installs all necessary dependencies, ensuring a smooth installation experience for users. This comprehensive approach not only enhances productivity but also ensures a robust foundation for development.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

AWS EC2 Trn3 Instances Yes 
Amazon SageMaker Model Training Yes 
Cleanlab Yes 
Comet LLM Yes 
DagsHub Yes 
Flyte Yes 
Gemma 2 Yes 
Gemma 4 Yes 
HPC-AI Yes 
Intel Open Edge Platform Yes 
LTXV Yes 
Label Studio Yes 
NVIDIA TensorRT Yes 
PaliGemma 2 Yes 
PostgresML Yes 
Segments.ai Yes 
SuperDuperDB Yes 
Thunder Compute Yes 
ZenML Yes 
vLLM Yes 

Integrations

AWS EC2 Trn3 Instances Yes 
Amazon SageMaker Model Training Yes 
Cleanlab Yes 
Comet LLM Yes 
DagsHub Yes 
Flyte Yes 
Gemma 2 Yes 
Gemma 4 Yes 
HPC-AI Yes 
Intel Open Edge Platform Yes 
LTXV Yes 
Label Studio Yes 
NVIDIA TensorRT Yes 
PaliGemma 2 Yes 
PostgresML Yes 
Segments.ai Yes 
SuperDuperDB Yes 
Thunder Compute Yes 
ZenML Yes 
vLLM Yes 

Pricing Details

$9 per month
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises No 
iPhone App Yes 
iPad App Yes 
Android App Yes 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Hugging Face

Founded

2016

Country

United States

Website

huggingface.co

Vendor Details

Company Name

PyTorch

Founded

2016

Website

pytorch.org

Product Features

Artificial Intelligence

Chatbot No 
For Healthcare No 
For Sales No 
For eCommerce No 
Image Recognition No 
Machine Learning No 
Multi-Language No 
Natural Language Processing No 
Predictive Analytics No 
Process/Workflow Automation No 
Rules-Based Automation No 
Virtual Personal Assistant (VPA) No 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

Product Features

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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