nli-deberta-v3-small
cross-encoder/nli-deberta-v3-smallContent controls: not assessed.
Model from Hugging Face for zero shot classification: cross-encoder/nli-deberta-v3-small · sentence transformers
Model facts
nli-deberta-v3-small is an open-weights language model for zero-shot classification. The primary file is model.safetensors (568 MB). The primary file needs about 2 GB free for the selected file. License: Apache 2.0. The SHA-256 prefix is ebc79588dd73. The primary Download is available now. No tested run commands for this file yet. See Files for current download availability. The size and hash details refer to the selected file, not every file in the repository. The memory figure is estimated from recorded file size with working room included. The size line uses recorded file bytes when they are present in this model record.
What's included
16 hosted of 20 listed
About this model
External Hugging Face catalog record for cross-encoder/nli-deberta-v3-small. Task: zero shot classification. Library: sentence transformers. Languages: en. Datasets referenced by card metadata: nyu-mll/multi_nli, stanfordnlp/snli. Files we host have a published SHA-256.
Quick facts
- Hosted here
- 16 hosted of 20 listed
- Full repo upstream
- 4.45 GB
- Recommended file
- 567.6 MB · model.safetensors
- Languages
- en
- Format
- safetensors · ONNX · BIN
- Downloads on Hugging Face
- 402,952
- File hashes
- Hashes recorded. Date not recorded.
License & source
License: apache-2.0
Check the license text and keep the required notices when you use or share the files.
Upstream source →- Task
- zero-shot classification
- Hosted here
- at least 16 listed files; full count and size unknown
- Full repo upstream
- 4.45 GB
- Recommended file
- 567.6 MB · model.safetensors
- Files
- 16 hosted of 20 listed
- Download
- Download here (16 hosted files)
- Added to Hugging Bay
- Updated at source
FAQ
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
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.
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.
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.
File checks and computer fit
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.
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.