RoBERTo-v2 safetensors download (556 MB) | Hugging Bay

Q: What is this model?

absltnull/RoBERTo-v2 is an open-weights language model for text classification published by absltnull, added to Hugging Bay Sep 23, 2026. Model from Hugging Face for text classification: absltnull/RoBERTo-v2 · transformers

Q: Can I use it commercially?

It is released under the mit license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

Hosted here: 4 files, 573.2 MB. Full repo upstream: 573.3 MB. The recommended download, model.safetensors, is 556.1 MB.

Q: What can I download here?

Hosted here: 4 files, 573.2 MB. Full repo upstream: 573.3 MB. The original release is at https://huggingface.co/absltnull/RoBERTo-v2.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 4 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-absltnull-roberto-v2/safety on Hugging Bay.

Q: Will absltnull/RoBERTo-v2 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.

absltnull

RoBERTo-v2

absltnull/RoBERTo-v2

text classificationLicense: mitHashes recordedsafetensors · BIN

Content controls: not assessed.

Model from Hugging Face for text classification: absltnull/RoBERTo-v2 · transformers

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Machine-readable artifact endpoints

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RoBERTo-v2

Machine-readable artifact endpoints

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