roberta-large safetensors download (1.35 GB) | Hugging Bay

Q: What is this model?

klue/roberta-large is an open-weights language model for masked-language modeling published by klue, added to Hugging Bay Sep 21, 2026. Model from Hugging Face for fill mask: klue/roberta-large · transformers

Q: Can I use it commercially?

License: unknown. Check the upstream license text or ask the model author before commercial use.

Q: How big is it?

Hosted here: 5 files, 1.35 GB. Full repo upstream: 2.69 GB. The recommended download, model.safetensors, is 1.35 GB.

Q: What can I download here?

Hosted here: 5 files, 1.35 GB. Full repo upstream: 2.69 GB.

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-klue-roberta-large/safety on Hugging Bay.

Q: Will klue/roberta-large 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.

klue

roberta-large

klue/roberta-large

Model details

masked-language modelingLicense: unknownHashes recordedsafetensors · BIN

Content controls: not assessed.

Listed for predicting masked text; for developers working with masked language models. Catalog sources: task, cardMetadata.pipelineTag.

View as JSON →

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-klue-roberta-large/model.safetensors",
    "model.safetensors",
)

Other ways

5 hosted of 9 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors1.35 GB · 1 file Download · 1.35 GB (1 file)

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Content controls: not assessed.

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