nli-deberta-v3-small safetensors download | Hugging Bay

Q: What is this model?

cross-encoder/nli-deberta-v3-small 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 for zero shot classification: cross-encoder/nli-deberta-v3-small · sentence transformers

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 16 listed files; full count and size unknown. Full repo upstream: 4.45 GB. The recommended download, model.safetensors, is 567.6 MB.

Q: What can I download here?

Hosted here: at least 16 listed files; full count and size unknown. Full repo upstream: 4.45 GB. The original release is at https://huggingface.co/cross-encoder/nli-deberta-v3-small.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 16 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-cross-encoder-nli-deberta-v3-small/safety on Hugging Bay.

Q: Will cross-encoder/nli-deberta-v3-small 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-deberta-v3-small

cross-encoder/nli-deberta-v3-small

Model details

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

Content controls: not assessed.

Listed for classifying text with supplied labels; for developers building text classification tools. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

View as JSON →

Your next step

Use it from code

This Python snippet downloads the selected file. Running the model needs its own library and setup.

from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-cross-encoder-nli-deberta-v3-small/model.safetensors",
    "model.safetensors",
)

Other ways

Run it on your computerOpen in Hugging Bay appSend to a computerApp links support one GGUF file.

16 hosted of 20 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors568 MB · 1 file Download · 568 MB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

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

Machine-readable artifact endpoints

Not run yet

nli-deberta-v3-small

Machine-readable artifact endpoints

Cookies