pubmedbert-base-embeddings-8M download | Hugging Bay

Q: What is this model?

NeuML/pubmedbert-base-embeddings-8M is an embedding model for sentence similarity and retrieval published by NeuML, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for sentence similarity: NeuML/pubmedbert-base-embeddings-8M · sentence transformers

Q: Can I use it commercially?

It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

NeuML/pubmedbert-base-embeddings-8M has 8M parameters. Hosted here: 4 files, 32 MB. Full repo upstream: 32 MB. The recommended download, model.safetensors, is 31.3 MB.

Q: What can I download here?

Hosted here: 4 files, 32 MB. Full repo upstream: 32 MB. The original release is at https://huggingface.co/NeuML/pubmedbert-base-embeddings-8M.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 4 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-neuml-pubmedbert-base-embeddings-8m/safety on Hugging Bay.

Q: Will NeuML/pubmedbert-base-embeddings-8M 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.

NeuML

pubmedbert-base-embeddings-8M

NeuML/pubmedbert-base-embeddings-8M

Model details

sentence similarity and retrievalLicense: apache-2.0SHA-256 recorded for 4 of 6 filessafetensors

Content controls: not assessed.

The catalog lists this model for checking whether two sentences mean similar things. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

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Use it from code

This Python snippet downloads the selected file. Running the model needs its own library and setup.

from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-neuml-pubmedbert-base-embeddings-8m/model.safetensors",
    "model.safetensors",
)

Other ways

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4 hosted of 6 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors31 MB · 1 file Download · 31 MB (1 file)

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