pubmedbert-base-splade safetensors download | Hugging Bay

NeuML

pubmedbert-base-splade

NeuML/pubmedbert-base-splade

Model details

sentence similarity and retrievalLicense: apache-2.0SHA-256 recorded for 11 of 14 filessafetensors

Content controls: not assessed.

Listed for comparing sentences; for developers building text similarity tools. Catalog sources: license, task.

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Your next step

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-splade/model.safetensors",
    "model.safetensors",
)

Other ways

Run it on your computerOpen in Hugging Bay appSend to a computerApp links support one GGUF file.

11 hosted of 14 listed · Hashes recorded. Date not recorded.

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

Open-file help

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Compare your file’s SHA-256 with the recorded hash.

Modellinformationen

pubmedbert-base-splade is an embedding model for sentence similarity and retrieval. The primary file is model.safetensors (438 MB). The primary file needs about 2 GB free for the selected file. License: Apache 2.0. The SHA-256 prefix is 2ef69c3eca29. The primary Download is available now. No tested run commands for this file yet. See Files for current download availability. The size and hash details refer to the selected file, not every file in the repository. The memory figure is estimated from recorded file size with working room included.

Enthaltene Dateien

11 hosted of 14 listed

Weights

Tokenizer & config

README, LICENSE & .gitattributes

Über dieses Modell

External Hugging Face catalog record for NeuML/pubmedbert-base-splade. Popularity signal at import: 34,116 downloads and 6 likes. Files are listed for discovery and verification context, but this Hugging Bay pilot has not mirrored or rescanned the remote blobs. Use the upstream Hugging Face links for download until an explicit mirror job is approved.

Kurzinfo

Hosted here: 11 hosted of 14 listed
Full repo upstream: unknown
Recommended file: 438.1 MB · model.safetensors
Format: safetensors
Downloads on Hugging Face: 34,116
File hashes: Hashes recorded. Date not recorded.

Lizenz und Quelle

License: apache-2.0

Check the license text and keep the required notices when you use or share the files.

Upstream source →

See the JSON record →

License: Apache 2.0. Free to use and share, keep the credit notice
Task: sentence similarity and retrieval
Hosted here: 11 files, 439 MB
Full repo upstream: unknown
Recommended file: 438.1 MB · model.safetensors
Files: 11 hosted of 14 listed
Download: Download here (11 hosted files)
Added to Hugging Bay: Jun 29, 2026
Updated at source: Jul 31, 2026
Source: NeuML/pubmedbert-base-splade

FAQ

What is this model?

NeuML/pubmedbert-base-splade is an embedding model for sentence similarity and retrieval published by NeuML, added to Hugging Bay Jun 29, 2026. Model from Hugging Face: NeuML/pubmedbert-base-splade

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.

How big is it?

Hosted here: 11 files, 439 MB. The full repository size is not recorded. The recommended download, model.safetensors, is 438.1 MB.

What can I download here?

Hosted here: 11 files, 439 MB. Full repo upstream: unknown. The original release is at https://huggingface.co/NeuML/pubmedbert-base-splade.

File checks and computer fit

File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 11 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-neuml-pubmedbert-base-splade/safety on Hugging Bay.

Will NeuML/pubmedbert-base-splade 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.