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Hugging Face NLP Stack Pre-configured by Intuz Inc

Intuz · Intelligence & Research

No attestation published

Certification per AWS Marketplace.

Provenance reach4 of 12 layers traced

Evidence tier Source Confirmed · 4 captures on record

User ratingNot rated0 reviews on the listing
Runs onUnknownVirtual machine
ProvenanceUnknown44% of the provenance layers this product can disclose
Evidence riskHighSign in to see the basis for this band.

What the publisher says

As described on AWS Marketplace.

This is a repackaged open source software product wherein additional charges apply for the pre-configuration and packaging by Intuz Inc.

The Hugging Face Transformers AMI by Intuz Inc offers a ready-to-launch environment for NLP developers and researchers. Pre-installed with Transformers library, Jupyter Notebook, and popular models like GPT, BERT, and T5, this AMI enables users to immediately begin fine-tuning or experimenting with state-of-the-art language models.

Show the rest of the publisher’s description (2 more lines)

Whether you're building chatbots, performing sentiment analysis, or summarizing text, this pre-configured AMI streamlines your workflow on AWS without the hassle of manual setup or dependency conflicts.

This AMI is ideal for users who want to quickly test, prototype, and deploy NLP models on a secure EC2 instance-saving time while accelerating model development.

Highlights

Highlighted by the publisher on AWS Marketplace.

Pre-configured with Hugging Face Transformers, including GPT, BERT, and T5 models

Launch-ready Jupyter Notebook environment for immediate development

Designed for rapid NLP experimentation and deployment on AWS EC2

Agent build and provenance

See the full provenance

The layer-by-layer build, the evidence behind each claim, the risk basis and the cross-marketplace links are open to any account. Some rows are disclosed, some the source leaves Unknown; a free account shows you which.

Plans and pricing as listed

74 listed
m5a.large
  • Hrs
$0.09
t3.micro
  • Hrs
$0.09
t3a.large
  • Hrs
$0.09
t3.large
  • Hrs
$0.09
m5zn.large
  • Hrs
$0.09
m5d.large
  • Hrs
$0.09
m5.xlarge
  • Hrs
$0.09
m5ad.xlarge
  • Hrs
$0.09
t3.medium
  • Hrs
$0.09
g4dn.8xlarge
  • Hrs
$0.09
m6a.8xlarge
  • Hrs
$0.09
m6a.large
  • Hrs
$0.09
and 62 more plans on the listing

Refund terms

As stated by the publisher on AWS Marketplace.

Intuz will not refund money in any case.However, you can cancel your subscription any time.

Sources

Marketplace listingaws.amazon.comSource
App certificationaws.amazon.comSource
StandardEulaStandardEulaSource

Linked repositories

RepositoriesUnknownUnknown

Unknown means this listing does not publish a repository. It is not a statement that the code is closed, and a linked repository is not a claim that the publisher wrote it: the registry computes that relationship privately and does not publish it.

Pricing
Paid
74 plans listed
Delivery
Virtual machine
We provide best-effort technical support for this product. We will do our best to respond to your questions within the next 24 hours in business days. For any technical support or query, you can fill out this form: https://www.intuz.com/get-started
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Evidence risk is the share of the build you cannot see before you deploy, not a security rating. Sign in to see the layer-by-layer basis for this band.