Evidence tier Source Confirmed · 9 captures on record
What the publisher says
As described on Microsoft Marketplace.
Longformer is a transformer-based deep learning model developed by Allen Institute for AI (AI2), designed to efficiently process long documents that exceed the typical input limits of standard transformers like BERT. By introducing a novel sliding window attention mechanism combined with global attention tokens, Longformer significantly reduces computation cost while retaining strong performance on natural language processing (NLP) tasks such as classification, summarization, and question answering.
Features of Longformer:
Show the rest of the publisher’s description (13 more lines)
- Efficiently handles long sequences up to 4,096 tokens (and beyond in custom setups).
- Introduces sliding window attention for linear scaling and global attention for task-specific tokens.
- Supports integration with Python libraries like Hugging Face Transformers for model inference and fine-tuning.
- Well-suited for processing long-form text in domains such as legal, scientific, and medical analysis.
- Compatible with both CPU and GPU computation for scalable workloads.
- Open-source, actively maintained, and widely used in NLP research and real-world applications.
To check the installed Longformer setup and Transformers version on your system, run:
# sudo su
# cd ~/longformer
# source venv/bin/activate
# python3 -c "import transformers; print('Transformers:', transformers.__version__)"
# python3 -c "import torch; print('PyTorch:', torch.__version__)"
Disclaimer: Longformer is accessible via the Hugging Face Transformers library and is maintained by the Allen Institute for AI (AI2) and the open-source community. Users are responsible for its correct usage in their specific applications. Always refer to the official Hugging Face documentation and Longformer research papers for the most accurate and up-to-date information.
Agent build and provenance
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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.
Compliance
- FedRAMPConfirmedNot listed90%, registry-checkedNo FedRAMP Marketplace entry matched this vendor's domain, checked 2026-08-27registry recordas observed 2026-08-27
Confirmed means matched to a public authoritative registry. Claimed means the vendor or its listing states it, not yet cross-checked. A framework not shown was not found in any source we hold, which is not evidence against it. Not listed means a scoped registry check found no match for this vendor's domain: a No is a scoped registry check, not a compliance judgment. Confidence bands: 95% domain-verified, 90% registry-checked, 80% self-attested, 70% weak signal. Self-attested items marked “vendor's site” are gathered from the vendor's own website and are not verified by us.
Vendor
External enrichment · as of 2026-08-29
Sources
Publisher resources
1 linkLinked repositories
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.
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