sberbank-rubert-base-collection3 download | Hugging Bay

Q: What is this model?

viktor-shcherb/sberbank-rubert-base-collection3 is an open-weights language model for token classification published by viktor-shcherb, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for token classification: viktor-shcherb/sberbank-rubert-base-collection3 · 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?

Hosted here: at least 5 listed files; full count and size unknown. Full repo upstream: 1.43 GB. The recommended download, model.safetensors, is 710.9 MB.

Q: What can I download here?

Hosted here: at least 5 listed files; full count and size unknown. Full repo upstream: 1.43 GB. The original release is at https://huggingface.co/viktor-shcherb/sberbank-rubert-base-collection3.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 5 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-viktor-shcherb-sberbank-rubert-base-collection3/safety on Hugging Bay.

Q: Will viktor-shcherb/sberbank-rubert-base-collection3 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.

viktor-shcherb

sberbank-rubert-base-collection3

viktor-shcherb/sberbank-rubert-base-collection3

Model details

token classificationLicense: apache-2.0SHA-256 recorded for 9 of 13 filessafetensors · BIN

Content controls: not assessed.

Listed for labeling parts of text; for developers building token classifiers. Catalog sources: license, cardMetadata.license, baseModel, 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-viktor-shcherb-sberbank-rubert-base-collection3/model.safetensors",
    "model.safetensors",
)

Other ways

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

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

Selected downloadmodel.safetensors711 MB · 1 file Download · 711 MB (1 file)

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Machine-readable artifact endpoints

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sberbank-rubert-base-collection3

Machine-readable artifact endpoints

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