nli-distilroberta-base safetensors download | Hugging Bay

Q: What is this model?

cross-encoder/nli-distilroberta-base is an open-weights language model for zero-shot classification published by cross-encoder, added to Hugging Bay Jun 29, 2026. Model from Hugging Face: cross-encoder/nli-distilroberta-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 328.5 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-distilroberta-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-distilroberta-base/safety on Hugging Bay.

Q: Will cross-encoder/nli-distilroberta-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-distilroberta-base

cross-encoder/nli-distilroberta-base

Model details

zero-shot classificationLicense: apache-2.0SHA-256 recorded for 8 of 25 filessafetensors · ONNX · BIN

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from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-cross-encoder-nli-distilroberta-base/model.safetensors",
    "model.safetensors",
)

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8 hosted of 25 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors328 MB · 1 file Download · 328 MB (1 file)

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8 hosted of 25 listed

Hashes recorded. Date not recorded.

File	Tamanho	SHA-256	Origem	Baixar
Weights
`model.safetensors` Default	328.5 MB	`9df3eb5d…c64c5c29` `9df3eb5d37118f952f4ba4fb46fde6889e3a9ccedeee0bad09b0110fc64c5c29`	Hosted	Baixar
`openvino/openvino_model.bin`	0 bytes	—	Upstream only	File metadata
`openvino/openvino_model_qint8_quantized.bin`	0 bytes	—	Upstream only	File metadata
`pytorch_model.bin`	0 bytes	—	Upstream only	File metadata
Tokenizer & config
`config.json`	701 bytes	`901e9df7…86e2e499` `901e9df7328199db94c0ff94013d14d49cc09878d2d4ee19326a8b8686e2e499`	Hosted	Baixar
`special_tokens_map.json`	1.01 KB	`75cbec71…13f17c1c` `75cbec71553267dadc77a583ef15122c2aa7422eb6635acc72a184a413f17c1c`	Hosted	Baixar
`tokenizer.json`	3.56 MB	`2bb1a22c…b6620f66` `2bb1a22cfbe25b8e5a232b7fc4d7fc5073923b45724a5f813b00811bb6620f66`	Hosted	Baixar
`tokenizer_config.json`	1.3 KB	`87111eee…3b7938dc` `87111eee3eed2bc8b8e774bc30d9c23e9eb2e07c031ffb7f3a9248c53b7938dc`	Hosted	Baixar
`vocab.json`	798.3 KB	`ed19656e…3670ab5e` `ed19656ea1707df69134c4af35c8ceda2cc9860bf2c3495026153a133670ab5e`	Hosted	Baixar
`merges.txt`	456.3 KB	`1ce16647…7726adc5` `1ce1664773c50f3e0cc8842619a93edc4624525b728b188a9e0be33b7726adc5`	Hosted	Baixar
`CESoftmaxAccuracyEvaluator_AllNLI-dev_results.csv`	0 bytes	—	Upstream only	File metadata
`flax_model.msgpack`	0 bytes	—	Upstream only	File metadata
`onnx/model.onnx`	0 bytes	—	Upstream only	File metadata
`onnx/model_O1.onnx`	0 bytes	—	Upstream only	File metadata
`onnx/model_O2.onnx`	0 bytes	—	Upstream only	File metadata
`onnx/model_O3.onnx`	0 bytes	—	Upstream only	File metadata
`onnx/model_O4.onnx`	0 bytes	—	Upstream only	File metadata
`onnx/model_qint8_arm64.onnx`	0 bytes	—	Upstream only	File metadata
`onnx/model_qint8_avx512.onnx`	0 bytes	—	Upstream only	File metadata
`onnx/model_qint8_avx512_vnni.onnx`	0 bytes	—	Upstream only	File metadata
`onnx/model_quint8_avx2.onnx`	0 bytes	—	Upstream only	File metadata
`openvino/openvino_model.xml`	0 bytes	—	Upstream only	File metadata
`openvino/openvino_model_qint8_quantized.xml`	0 bytes	—	Upstream only	File metadata
Docs
`README.md`	2.68 KB	`77cad899…fdee3332` `77cad8991998f7e704926f4825536b56b3c6e5d4cd0046e410db74b2fdee3332`	Hosted	Baixar
`.gitattributes`	0 bytes	—	Upstream only	File metadata

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nli-distilroberta-base

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