Sold by: kCloudHubs LLC
Deployed on AWS
AWS Free Tier
This product has charges associated with it for seller support. XLNet is an advanced transformer-based natural language processing model designed for language understanding, text generation, sentiment analysis, classification, question answering, and other AI-driven text tasks.
Overview
This is a repackaged open-source software product wherein additional charges apply for support. XLNet on Ubuntu 24.04 provides a transformer-based natural language processing environment designed for applications that require contextual understanding and analysis of text. XLNet uses a permutation-based language modeling approach that enables it to learn relationships between words across different contexts while retaining the benefits of autoregressive language modeling.
XLNet can be used as part of machine learning and NLP workflows for tasks such as text classification, sentiment analysis, question answering, language understanding, text generation, and other text analytics applications. Its contextual modeling capabilities make it suitable for researchers, developers, data scientists, and AI teams working with language-based applications. The environment on Ubuntu 24.04 provides a ready-to-use foundation for NLP development, experimentation, testing, and deployment workflows.
Key features and benefits: transformer-based language modeling, contextual text understanding, permutation-based training, support for NLP experimentation, text classification, sentiment analysis, question answering, text generation, and language analytics. kCloudHubs provides maintenance support for XLNet on Ubuntu 24.04, including installation assistance, configuration guidance, troubleshooting, environment maintenance, updates, dependency support, and operational assistance. Keywords: XLNet, xlnet, XLNET, Xlnet, Ubuntu 24.04, NLP, natural language processing, transformer model, language understanding, text classification, sentiment analysis, question answering, text generation, machine learning, artificial intelligence, text analytics, kCloudHubs.
Highlights
- Advanced transformer architecture for NLP workloads
- Strong contextual language understanding
- Supports classification, question answering, summarization, and generation
Details
Sold by
Categories
Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 24.04
Deployed on AWS
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Dimension | Cost/hour |
|---|---|
m4.large Recommended | $0.10 |
t2.micro | $0.001 |
t3.micro | $0.10 |
t3.medium | $0.10 |
t2.2xlarge | $0.10 |
t2.medium | $0.10 |
t3.nano | $0.10 |
t3.large | $0.10 |
r3.large | $0.10 |
r4.large | $0.10 |
Vendor refund policy
No Refund
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Packaged with latest updates as of March 2026.
Additional details
Usage instructions
Connect you your instance via SSH, the username is ubuntu. More info on SSH: https://docs.aws.amazon.com/AWSEC2/latest/UserGuide/AccessingInstancesLinux.html - Run the following commands: #sudo su #sudo apt update #cd /opt/xlnet #source xlnet-env/bin/activate #pip show transformers Connect to your Linux instance using an SSH client - Amazon Elastic Compute Cloud Connect to your Linux instances using an SSH client.
Support
Vendor support
Feel free to reach out anytime. Our support team is available 24x7 for assistance mail: meha@kcloudhubs.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
This product has charges associated with it for seller support. XLNet is a powerful transformer-based natural language processing (NLP) framework optimized for text understanding, classification, sentiment analysis, question answering, and language modeling.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.