codebert-embed-base-dense-retriever download | Hugging Bay

codebert-embed-base-dense-retriever

shubharuidas/codebert-embed-base-dense-retriever

Model details

sentence similarity and retrievalLicense: apache-2.0SHA-256 recorded for 8 of 13 filessafetensors

Content controls: not assessed.

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

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from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-shubharuidas-codebert-embed-base-dense-retriever/model.safetensors",
    "model.safetensors",
)

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8 hosted of 13 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors499 MB · 1 file Download · 499 MB (1 file)

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Informations sur le modèle

codebert-embed-base-dense-retriever is an embedding model for sentence similarity and retrieval. The primary file is model.safetensors (499 MB). The primary file needs about 2 GB free for the selected file (file plus room to run it). License: Apache 2.0. The SHA-256 prefix is 9a25cab11430. 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.

Contenu inclus

8 hosted of 13 listed

Weights

Tokenizer & config

README, LICENSE & .gitattributes

À propos de ce modèle

External Hugging Face catalog record for shubharuidas/codebert-embed-base-dense-retriever. Task: sentence similarity. Library: sentence transformers. Languages: en. Base model: microsoft/codebert-base. Includes 12 model-card evaluation signals.

Informations clés

Hosted here: 8 hosted of 13 listed
Full repo upstream: 503.5 MB
Recommended file: 498.6 MB · model.safetensors
Languages: en
Format: safetensors
Downloads on Hugging Face: 98
File hashes: Hashes recorded. Date not recorded.

Licence et source

License: apache-2.0

8 hosted of 13 listed

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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: 8 files, 502.2 MB
Full repo upstream: 503.5 MB
Recommended file: 498.6 MB · model.safetensors
Files: 8 hosted of 13 listed
Download: Download here (8 hosted files)
Added to Hugging Bay: Sep 28, 2026
Updated at source: Sep 28, 2026
Source: shubharuidas/codebert-embed-base-dense-retriever

FAQ

What is this model?

shubharuidas/codebert-embed-base-dense-retriever is an embedding model for sentence similarity and retrieval published by shubharuidas, added to Hugging Bay Sep 28, 2026. Model from Hugging Face for sentence similarity: shubharuidas/codebert-embed-base-dense-retriever · sentence transformers

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: 8 files, 502.2 MB. Full repo upstream: 503.5 MB. The recommended download, model.safetensors, is 498.6 MB.

What can I download here?

Hosted here: 8 files, 502.2 MB. Full repo upstream: 503.5 MB. The original release is at https://huggingface.co/shubharuidas/codebert-embed-base-dense-retriever.

File checks and computer fit

File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 8 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-shubharuidas-codebert-embed-base-dense-retriever/safety on Hugging Bay.

Will shubharuidas/codebert-embed-base-dense-retriever 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.