OpenMed-ZeroShot-NER-Disease-Tiny-60M is a zero-shot named-entity model for disease recognition, and none of the candidate sources names it directly. The closest match is Hugging Face, which hosts open models and offers zero-shot text classification and an SDK 5; Replicate can run open models through an API and lists zero-shot classifiers 4. Sentence Transformers is a general embedding library rather than an NER tool 8.

A question back: Do you want to run this model locally, through Hugging Face's hosted inference, or via a cloud API such as Replicate?

1. 1

   Hugging Facehuggingface.coverified and signed

   Hosts open machine learning models and offers an SDK (huggingface-hub) plus text classification tooling, which is the natural place to find and load this model 5.

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   official:MCP server · @huggingface/mcp-clientSDK · huggingface-hubCLI · text-embeddings-inferencerepository · pwc-cliskill · hf-cli+23 community tools built for it

   for agents: text_classification · tiny-agent · huggingface

2. 2

   Replicatereplicate.comverified and signed

   Runs open-source machine learning models through a cloud API, including zero-shot classifier models 4.

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   +14 community tools built for it

   for agents: microsoft/phi-3-mini-128k-instruct · georgedavila/bart-large-mnli-classifier · microsoft/phi-3-mini-4k-instruct

3. 3

   SentenceTransformers Documentationsbert.netverified and signed

   Python library for using and training embedding and reranker models, usable for building custom zero-shot entity matching on top of text embeddings 8.

   WebsiteDocs

   official:SDK · sentence-transformers+24 community tools built for it

   for agents: XLNet · BERT · Networks