The request names "openmed" and a specific model, OpenMed-NER-SpeciesDetect-BigMed-278M, which is a named-entity recognition model for species detection; none of the candidate sources describes or hosts that model, so no product here is confirmed to serve it. The closest fits are general model-hosting and inference platforms, and the request is ambiguous about the platform you intend to run it on.
A question back: Which platform will you run this model on (local Python with Hugging Face, a cloud API such as Replicate, or an edge or production inference engine)?
- 1
Replicatereplicate.comverified and signed
Replicate runs open-source machine learning models through a cloud API 8, and its action record lists finding models, running them via predictions, and publishing custom models 18, which could host a Hugging Face-style NER model if it is available there.
+12 community tools built for it
for agents: find-models · run-models · publish-models
- 2
Sentence Transformerssbert.netverified and signed
Sentence Transformers is a Python module for using and training embedding and reranker models 6, useful if you want to load and fine-tune a transformer-based NER or embedding model locally.
official:SDK · sentence-transformers+24 community tools built for it
for agents: BERT · XLNet · embedding
- 3
ONNXonnx.aiwebsite read, tools not yet checked
ONNX is an interoperability format that lets models trained in one framework run on a chosen inference engine 7, useful for exporting a transformer model for deployment.
+55 community tools built for it
Sources
- 6SentenceTransformers Documentation — Sentence Transformers documentationsbert.net · read 2026-10-29
- 7ONNX | Homeonnx.ai · read 2026-10-29
- 8Replicate - Run AI with an APIreplicate.com · read 2026-10-29
- 18find-models: declares "find-models" (the record we read and signed)unfragile.ai · read 2026-10-24
For agents: the 10 actions behind this answer
· Open Medici website read, tools not yet checked
Search fellowships and grants by deadline, eligibility, funding, and source.
workers-ai-search-model · Cloudflare API verified and signed
Model Search
test-smell-detection · test-smell-detection verified and signed
Audits existing tests in any language using formal, research-backed test smell names and the testsmells.org 19-smell academic taxonomy. Use when the caller asks for an academic or citable test-smell review, named smell categories, or a formal severity-ranked smell assessment. Covers Assertion Roulet
finnish-humanizer · finnish-humanizer verified and signed
Detect and remove AI-generated markers from Finnish text, making it sound like a native Finnish speaker wrote it. Use when asked to "humanize", "naturalize", or "remove AI feel" from Finnish text, or when editing .md/.txt files containing Finnish content. Identifies 26 patterns (12 Finnish-specific
· Research website read, tools not yet checked
Discover Google Research. We publish research papers across a wide range of domains and share our latest developments in AI and science research.
BERT · sentence-transformers verified and signed
· ONNX website read, tools not yet checked
find-models · find-models verified and signed
Find AI models on Replicate using search and curated collections.
analyze_sentiment · OpenAI (Activepieces) verified and signed
Analyze Text Sentiment — Label text as positive, negative or neutral.
qdrant-search-quality · qdrant-search-quality verified and signed
Diagnoses and improves Qdrant search relevance. Use when someone reports 'search results are bad', 'wrong results', 'low precision', 'low recall', 'irrelevant matches', 'missing expected results', or asks 'how to improve search quality?', 'which embedding model?', 'should I use hybrid search?', 'how
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.