msmarco-bert-co-condensor safetensors download | Hugging Bay

sentence-transformers

msmarco-bert-co-condensor

sentence-transformers/msmarco-bert-co-condensor

Model details

sentence similarity and retrievalLicense: apache-2.0SHA-256 recorded for 11 of 26 filessafetensors · ONNX · BIN

Content controls: not assessed.

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

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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-sentence-transformers-msmarco-bert-co-condensor/model.safetensors",
    "model.safetensors",
)

Other ways

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11 hosted of 26 listed · Hashes recorded. Date not recorded.

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

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Datos del modelo

msmarco-bert-co-condensor 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 af5adf8d20b2. 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.

Qué incluye

11 hosted of 26 listed

Weights

Tokenizer & config

README, LICENSE & .gitattributes

Acerca de este modelo

External Hugging Face catalog record for sentence-transformers/msmarco-bert-co-condensor. Popularity signal at import: 42 downloads and 4 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.

Datos básicos

Hosted here: 11 hosted of 26 listed
Full repo upstream: unknown
Recommended file: 438 MB · model.safetensors
Format: safetensors · ONNX · BIN
Downloads on Hugging Face: 42
File hashes: Hashes recorded. Date not recorded.

Licencia y origen

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: at least 11 listed files; full count and size unknown
Full repo upstream: unknown
Recommended file: 438 MB · model.safetensors
Files: 11 hosted of 26 listed
Download: Download here (11 hosted files)
Added to Hugging Bay: Jul 1, 2026
Updated at source: Aug 4, 2026
Source: sentence-transformers/msmarco-bert-co-condensor

FAQ

What is this model?

sentence-transformers/msmarco-bert-co-condensor is an embedding model for sentence similarity and retrieval published by sentence-transformers, added to Hugging Bay Jul 1, 2026. Model from Hugging Face: sentence-transformers/msmarco-bert-co-condensor

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: at least 11 listed files; full count and size unknown. The full repository size is not recorded. The recommended download, model.safetensors, is 438 MB.

What can I download here?

Hosted here: at least 11 listed files; full count and size unknown. Full repo upstream: unknown. The original release is at https://huggingface.co/sentence-transformers/msmarco-bert-co-condensor.

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-sentence-transformers-msmarco-bert-co-condensor/safety on Hugging Bay.

Will sentence-transformers/msmarco-bert-co-condensor 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.