Evidence tier Source Confirmed · 9 captures on record
What the publisher says
As described on Microsoft Marketplace.
InfoXLM is a large-scale, multilingual pre-trained language model developed by **Microsoft** for natural language processing (NLP) tasks. Built on the **transformer architecture**, it enables users to perform cross-lingual understanding and generation tasks across multiple languages with minimal manual intervention. InfoXLM leverages massive multilingual datasets to learn shared representations, making it suitable for tasks like text classification, question answering, and translation.
Features of InfoXLM:
Show the rest of the publisher’s description (12 more lines)
- Efficiently handles cross-lingual tasks such as translation, text classification, and question answering.
- Leverages pre-trained multilingual representations for low-resource languages.
- Supports integration with Python libraries like Hugging Face Transformers for model inference and fine-tuning.
- Modular and flexible design allows integration into custom NLP pipelines and applications.
- Lightweight to load with Python, enabling both CPU and GPU computation.
- Open-source, actively maintained, and widely used in multilingual NLP research and applications. To check the installed InfoXLM setup and Transformers version on your system, run:
# sudo su
# sudo apt update
# cd /opt/infoxlm
# source venv/bin/activate
# python -c "import transformers; print('Transformers version:', transformers.__version__)"
Disclaimer: InfoXLM is accessible via the Hugging Face Transformers library and is maintained by Microsoft 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 Microsoft research papers for the most accurate and up-to-date information.
Agent build and provenance
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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.
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.

