MedCPT-Query-Encoder safetensors download | Hugging Bay

Q: What is this model?

ncbi/MedCPT-Query-Encoder is an embedding model for text embeddings published by ncbi, added to Hugging Bay Sep 21, 2026. Model from Hugging Face for feature extraction: ncbi/MedCPT-Query-Encoder · transformers

Q: Can I use it commercially?

License: unknown. Check the upstream license text or ask the model author before commercial use.

Q: How big is it?

Hosted here: at least 7 listed files; full count and size unknown. Full repo upstream: 876.9 MB. The recommended download, model.safetensors, is 438 MB.

Q: What can I download here?

Hosted here: at least 7 listed files; full count and size unknown. Full repo upstream: 876.9 MB.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 7 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-ncbi-medcpt-query-encoder/safety on Hugging Bay.

Q: Will ncbi/MedCPT-Query-Encoder run on my computer?

We can’t check the fit; we don’t know your machine. We don’t have your machine’s specs, so no check ran and no verdict is shown. Answer two quick questions and we’ll estimate, from the memory you tell us, whether it fits your machine. Or skip it; you can still download; fit isn’t checked.

ncbi

MedCPT-Query-Encoder

ncbi/MedCPT-Query-Encoder

Model details

text embeddingsLicense: unknownSHA-256 recorded for 8 of 11 filessafetensors · BIN

Content controls: not assessed.

The catalog lists this model for finding useful details in data. Catalog sources: task, cardMetadata.pipelineTag.

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from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-ncbi-medcpt-query-encoder/model.safetensors",
    "model.safetensors",
)

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7 hosted of 11 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors438 MB · 1 file Download · 438 MB (1 file)

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