nahiar

zero shot classification

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Model details
zero-shot classificationLicense: mitHashes recordedsafetensors
Quick answer: compatibility and sources

Can I run zero-shot-classification on my computer?

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zero-shot-classification 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.

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Recorded SHA-256 for model.safetensors: 8869b0c99ad35ec8a8c92434b54383d2dfd7db8cd460e28b9944a407e3a423e4. 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 · 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

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Key facts

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Requirements and source record
nahiar/zero-shot-classification

Content controls: not assessed.

The catalog lists this model for sorting text into categories you choose. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

Model from Hugging Face for zero shot classification: nahiar/zero-shot-classification · transformers

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Will it run on my computer?

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Files

config.json

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model.safetensors

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2.24 GBView file
README.md

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requirements.txt

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sentencepiece.bpe.model

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5.07 MBView file
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Where this information comes from

What's included

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Weights
Tokenizer & config
README, LICENSE & .gitattributes

About this model

External Hugging Face catalog record for nahiar/zero-shot-classification. Task: zero shot classification. Library: transformers. Languages: multilingual, en, fr, es, de, el, bg, ru. Datasets referenced by card metadata: multi_nli, xnli. Includes 2 model-card evaluation signals. Popularity signal at import: 25 downloads and 2 likes.

Quick facts

Hosted here
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Full repo upstream
6.74 GB
Recommended file
2.24 GB · model.safetensors
Languages
multilingual, en, fr, es, de, el, bg, ru, tr, ar, vi, th
Format
safetensors
File hashes
Hashes recorded. Date not recorded.

License & source

License: mit

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Upstream source →

See the JSON record →

nahiar/zero-shot-classificationView as JSON →

Content controls: not assessed.