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Two small chat models run in a computer’s browser here; every other model is a file you download.

klue

roberta-large

Can I run roberta-large on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 5 hosted files; check the file list for the exact selection. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.

roberta-large is an open-weights language model for masked-language modeling. Model weights are learned parameters; a runtime loads them. Hosting files does not prove that a complete model runs.

As of the availability check on .

Recorded SHA-256 for model.safetensors: e0c7520e0e5c5e6c0f8f6b0767574c51fd5cdfb332f28168ad6f1bb9d1b9716a. File evidence · Machine-readable facts · Run evidence and any recorded receipts · Proof Lab measurement policy. A checksum verifies byte identity, not safety; this answer asserts no measured runtime result.

Updated · Page text: As of · Content revision

Model metadata: As of at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked .

klue/roberta-large
Model details
masked-language modelingLicense: unknownSHA-256 recorded for 6 of 9 filessafetensors · BIN

Content controls: not assessed.

The catalog lists this model for filling in missing words in text. Catalog sources: task, cardMetadata.pipelineTag.

Datos del modelo

roberta-large is an open-weights language model for masked-language modeling. The primary file is model.safetensors (1.35 GB). The primary file needs about 3 GB free for the selected file (file plus room to run it). License: unknown. The SHA-256 prefix is e0c7520e0e5c. The primary Download is available now. No tested run commands for this file yet. The license label is unknown; availability is shown separately. 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

5 hosted of 9 listed

Weights
Tokenizer & config
README, LICENSE & .gitattributes

Acerca de este modelo

External Hugging Face catalog record for klue/roberta-large. Task: fill mask. Library: transformers. Languages: ko. Popularity signal at import: 17,822 downloads and 67 likes.

Datos básicos

Hosted here
5 hosted of 9 listed
Full repo upstream
2.69 GB
Recommended file
1.35 GB · model.safetensors
Languages
ko
Format
safetensors · BIN
File hashes
Hashes recorded. Date not recorded.

Licencia y origen

License: unknown

5 hosted of 9 listed

No license was found in metadata, the LICENSE file or README. You can download the files; check the terms before you use or share them.

See the JSON record →

License
unknown
Task
masked-language modeling
Hosted here
5 files, 1.35 GB
Full repo upstream
2.69 GB
Recommended file
1.35 GB · model.safetensors
Files
5 hosted of 9 listed
Added to Hugging Bay
Updated at source
Source
klue/roberta-large

FAQ

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

Can I use it commercially?

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

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.

What can I download here?

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

File checks and computer fit
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.

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.