Sold by: Waltsoft Inc.
Deployed on AWS
1M+ monthly downloads. DistilBERT fine-tuned on CoNLL-03 for PER, ORG, LOC, MISC extraction. 40% faster than BERT-base NER at 90% of the accuracy.
Overview
DistilBERT NER is Elastic's production NER model fine-tuned on CoNLL-2003, delivering 40% faster inference than BERT-base-NER at 90% of the F1 score -- the performance-efficiency tradeoff that makes it the preferred choice for high-throughput real-time NER pipelines. With 1M+ monthly downloads from the Elasticsearch and Elastic NLP community, it is the standard for streaming document entity extraction where latency matters: news wire processing, real-time contract screening, live customer communication monitoring, and high-volume compliance event detection. At ~260MB it loads faster, uses less memory, and serves more concurrent requests on ml.m5.xlarge than the full BERT variant.
Highlights
- 40% faster inference than BERT-base-NER -- optimized for high-throughput real-time pipelines
- 1M+ monthly downloads from Elasticsearch and Elastic NLP production deployments
- 260MB footprint enables higher concurrency per ml.m5.xlarge instance
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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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
1M+ monthly downloads. DistilBERT fine-tuned on CoNLL-03 for PER, ORG, LOC, MISC extraction. 40% faster than BERT-base NER at 90% of the accuracy.
- 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.
AWS infrastructure support
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