Evidence tier Source Confirmed · 7 captures on record
What the publisher says
As described on Microsoft Marketplace.
FastText is an open-source library developed for efficient text classification and word representation learning. It is commonly used for natural language processing tasks such as supervised text classification, word vector generation, language identification, and text similarity analysis.
The solution supports common NLP workflows including training text classification models, creating word embeddings, loading saved models, and performing fast predictions using Python scripts or command-line execution. It is ideal for machine learning, text analytics, sentiment analysis, and language processing use cases.
Show the rest of the publisher’s description (14 more lines)
Features of FastText :
- Efficient text classification and word representation learning.
- Supports supervised and unsupervised training modes.
- Generates word vectors using skipgram and CBOW models.
- Provides Python library support for easy model training and prediction.
- Fast prediction performance for large text datasets.
- Suitable for NLP, machine learning, and text analytics workloads.
Usage Instruction: /p>
Usage instructions for FastText
$ sudo su -
$ cd /opt/fasttext
$ source venv/bin/activate
$ python -m pip show fasttext
Disclaimer: FastText is provided “as is” under applicable open-source licenses. Users are responsible for validating model outputs, securing training data, and ensuring proper usage for production workloads. This solution is best suited for machine learning, natural language processing, text classification, and word representation use cases.
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.

