Sold by: Waltsoft Inc.
Deployed on AWS
Toxic Content Detector - Real-Time Content Moderation on SageMaker
Overview
Deploy Toxic-BERT on Amazon SageMaker for real-time content moderation and toxicity detection. Essential for Trust & Safety teams, UGC platforms, and LLM output filtering. 110MB, no GPU required, full network isolation for private content pipelines. Apache-2.0 licensed.
Highlights
- 110MB real-time toxicity detection for UGC platforms and LLM outputs
- No GPU required - full network isolation for private content pipelines
- Drop-in Trust and Safety layer for SageMaker inference pipelines
Details
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Latest version
Deployed on AWS
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Dimension | Description | Cost/host/hour |
|---|---|---|
ml.m5.xlarge Inference (Real-Time) Recommended | Model inference on the ml.m5.xlarge instance type, real-time mode | $0.10 |
ml.m5.xlarge Inference (Batch) Recommended | Model inference on the ml.m5.xlarge instance type, batch mode | $0.10 |
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No refunds.
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Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
Initial release
Additional details
Inputs
- Summary
Toxic Content Detector - Real-Time Content Moderation on SageMaker
- Input MIME type
- application/json
https://waltsoft-marketplace-assets.s3.amazonaws.com/ml-validation/text-sample/sample.jsonl
https://waltsoft-marketplace-assets.s3.amazonaws.com/ml-validation/text-sample/sample.jsonl
Support
Vendor support
Contact support@waltsoft.net for deployment assistance.
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