nli-roberta-base safetensors download (499 MB) | Hugging Bay

Q: What is this model?

cross-encoder/nli-roberta-base is an open-weights language model for zero-shot classification published by cross-encoder, added to Hugging Bay Jun 30, 2026. Model from Hugging Face: cross-encoder/nli-roberta-base

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 8 listed files; full count and size unknown. The full repository size is not recorded. The recommended download, model.safetensors, is 498.6 MB.

Q: What can I download here?

Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: unknown. The original release is at https://huggingface.co/cross-encoder/nli-roberta-base.

Q: 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-cross-encoder-nli-roberta-base/safety on Hugging Bay.

Q: Will cross-encoder/nli-roberta-base 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.

cross-encoder

nli-roberta-base

cross-encoder/nli-roberta-base

zero-shot classificationLicense: apache-2.0Hashes recordedsafetensors · ONNX · BIN

Content controls: not assessed.

Model from Hugging Face: cross-encoder/nli-roberta-base

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nli-roberta-base

Machine-readable artifact endpoints

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