zero-shot-classification

cross-encoder/nli-deberta-v3-large

cross-encoder/nli-deberta-v3-large is a zero shot classification model indexed for deployment research. Estimated minimum GPU memory is 8 GB. It is publicly listed on Hugging Face.

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ParametersUnknown

Downloads109,466

Likes45

Licenseapache-2.0

Librarysentence-transformers

Hardware tierConsumer

DEPLOYMENT NOTES

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Confirm the exact weight format and quantization.
Measure memory at your intended context or image size.
Review model-card limitations and evaluation methodology.
Test latency and throughput on your target runtime.

LICENSE SIGNAL

Likely commercial-friendly

License metadata is an index signal, not legal advice. Follow the repository license and any model-specific acceptable-use terms.

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ORIGINAL SOURCE

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SIMILAR OPTIONS

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zero-shot-classification