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

Can I run nli-roberta-base on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 8 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.

nli-roberta-base is an open-weights language model for zero-shot classification. Model weights are learned parameters; a runtime loads them. A hosted file is an individual file Hugging Bay can serve. SHA-256 identifies exact file bytes. The availability date above applies to this file record, not the upstream metadata update date.

As of the recorded file availability check on 2026-10-22.

Recorded SHA-256 for model.safetensors: efc90996d2ed80123c26c9091c91385ffddc6d2fd0b2bacf3187fbd6c5b87953. Exact file evidence · Machine-readable source facts · Run evidence and any recorded receipts. A checksum fingerprints only the named file bytes; it does not prove safety, quality, a complete multi-file selection or a successful run.

Updated 2026-10-21 · Page-copy source revision 8871bab84e1cf80aea1686a944ec335078a6c036 · Source files: apps/web/lib/model-page-template.mjs, apps/web/lib/model-page-v3.mjs, apps/web/lib/aeo-page.mjs · Full revision record

Model metadata: As of 2026-07-31 at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked 2026-10-22.

cross-encoder/nli-roberta-base

Model details

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

Content controls: not assessed.

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from urllib.request import urlretrieve

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

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

Selected downloadmodel.safetensors499 MB · 1 file Download · 499 MB (1 file)

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Compare your file’s SHA-256 with the recorded hash.

8 hosted of 25 listed

Hashes recorded. Date not recorded.

File	Size	SHA-256	Source	Download
Weights
`model.safetensors` Default	498.6 MB	`efc90996…c5b87953` `efc90996d2ed80123c26c9091c91385ffddc6d2fd0b2bacf3187fbd6c5b87953`	Hosted	Download
`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`	702 bytes	`20b692ce…232d8da4` `20b692ce487e9ae8f5e97d08c795eed4ba6fb6a5f89fd67f64880dbd232d8da4`	Hosted	Download
`special_tokens_map.json`	1.01 KB	`75cbec71…13f17c1c` `75cbec71553267dadc77a583ef15122c2aa7422eb6635acc72a184a413f17c1c`	Hosted	Download
`tokenizer.json`	3.56 MB	`2bb1a22c…b6620f66` `2bb1a22cfbe25b8e5a232b7fc4d7fc5073923b45724a5f813b00811bb6620f66`	Hosted	Download
`tokenizer_config.json`	1.3 KB	`87111eee…3b7938dc` `87111eee3eed2bc8b8e774bc30d9c23e9eb2e07c031ffb7f3a9248c53b7938dc`	Hosted	Download
`vocab.json`	798.3 KB	`ed19656e…3670ab5e` `ed19656ea1707df69134c4af35c8ceda2cc9860bf2c3495026153a133670ab5e`	Hosted	Download
`merges.txt`	456.3 KB	`1ce16647…7726adc5` `1ce1664773c50f3e0cc8842619a93edc4624525b728b188a9e0be33b7726adc5`	Hosted	Download
`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`	2.65 KB	`2467ea92…e041c28d` `2467ea92656cd8dd520f858d32eca51a70ab1fd0d9215b0a640a36d2e041c28d`	Hosted	Download
`.gitattributes`	0 bytes	—	Upstream only	File metadata

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nli-roberta-base

Can I run nli-roberta-base on my computer?

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