The request names a specific model, OpenMed-NER-DNADetect-MultiMed-568M, but none of the candidate sources describes or hosts that model. The closest fits are sources that run or serve named-entity-recognition or embedding models, though none states it hosts this model, so the request needs the platform or runtime you plan to use.
A question back: Which runtime or platform do you want to run this model on (for example local Python with Hugging Face, a managed cloud API, or a hosted inference service)?
- 1
Ollamaollama.comwebsite read, tools not yet checked
Ollama runs open AI models locally or in the cloud on macOS, Windows, and Linux 4, which could host a 568M NER model if one is available in its library.
+137 community tools built for it
- 2
Sentence Transformerssbert.netverified and signed
Sentence Transformers is a Python module for using and training embedding and reranker models 3, useful if you fine-tune or load a transformer-based entity recognition model.
official:SDK · sentence-transformers+24 community tools built for it
for agents: XLNet · BERT · Networks
- 3
Amazon Comprehend Medicalamazon.comverified and signed
The DetectEntitiesV2 action inspects clinical text for medical entities and returns entity category, location and confidence 12, a managed alternative for DNA and medical entity detection.
official:MCP server · mcp-proxy-for-awsAPI · AWS Certificate ManagerSDK · @aws-sdk/typeslibrary · aws-lc-sysCLI · aws-cdk
for agents: DetectEntitiesV2 · DetectEntities · DetectPHI
Sources
- 2Dedicated Game Server Hosting | Amazon GameLift Partners | AWSaws.amazon.com · read 2026-10-29
- 3SentenceTransformers Documentation — Sentence Transformers documentationsbert.net · read 2026-10-29
- 4Ollama · Run AI models locally and in the cloudollama.com · read 2026-10-29
- 12AWS Comprehend Medical: declares "DetectEntitiesV2" (the record we read and signed)unfragile.ai · read 2026-10-24
For agents: the 10 actions behind this answer
powerbi-modeling · powerbi-modeling verified and signed
Power BI semantic modeling assistant for building optimized data models. Use when working with Power BI semantic models, creating measures, designing star schemas, configuring relationships, implementing RLS, or optimizing model performance. Triggers on queries about DAX calculations, table relation
DetectEntitiesV2 · AWS Comprehend Medical verified and signed
<p>Inspects the clinical text for a variety of medical entities and returns specific information about them such as entity category, location, and confidence score on that information. Amazon Comprehe
XLNet · sentence-transformers verified and signed
· Ollama website read, tools not yet checked
Ollama is the easiest way to run and build with open AI models locally or in the cloud on macOS, Windows, and Linux.
langchain · Docs by LangChain verified and signed
Use when building AI agents, integrating language models with
· Langchain Google website read, tools not yet checked
LangChain enables every company to own their intelligence. Control, govern, and compound intelligence with an open agent engineering platform.
redis-core · redis-core verified and signed
Core Redis modeling guidance — choose the right data structure (String, Hash, List, Set, Sorted Set, JSON, Stream, Vector Set) and use consistent colon-separated key names. Use when designing a Redis data model, caching objects, deciding between Hash and JSON, building counters, leaderboards, member
· PromptDNA website read, tools not yet checked
template-discovery · template-discovery verified and signed
Helps find, inspect, and compare (at a high level) .NET project templates. Resolves natural-language project descriptions to ranked template matches with pre-filled parameters. USE FOR: finding the right dotnet new template for a task, inspecting a template's parameters and constraints, understandin
twiml · Twilio verified and signed
Labels are the instruments' verdict and are never changed by ranking. Agents and robots get this same answer as JSON at /api/v1/find?q=…&answer=1 and through the MCP server.