# nahiar/zero-shot-classification

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

## Facts

- Type: LLM
- Task: zero-shot-classification
- Framework: transformers
- License: mit — Permissive open license: commercial use, modification, and redistribution are permitted. (https://spdx.org/licenses/MIT.html)
- Source: https://huggingface.co/nahiar/zero-shot-classification
- Hosting: hosted (7 files)
- Files: 7 hosted of 10 listed
- File counts: "listed" is every file in the source repository; only hosted files download from Hugging Bay, and the download plan lists the files it selects for one download, so its count can differ.
- Hosted here: at least 7 listed files; full count and size unknown
- Full repo upstream: 6.74 GB
- Recommended file: 2.24 GB · model.safetensors
- Download: https://huggingbay.xyz/artifact/hf-model-nahiar-zero-shot-classification/files (download plan: https://huggingbay.xyz/api/artifacts/hf-model-nahiar-zero-shot-classification/download-plan)
- Per-file SHA-256: available for 6 of 7 hosted files via https://huggingbay.xyz/api/artifacts/hf-model-nahiar-zero-shot-classification/files?limit=100
- Run-ready: no (Hugging Bay has not certified a run path for this model; hosted bytes are downloadable and hash-checkable only)
- Peer-assisted fallbacks: 0 verified, 0 pending review
- Downloads: 44
- Stars: 2
- Card completeness: 96%

## Description

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.

## Model Card Facts

- Declared license: mit
- Pipeline: zero-shot-classification
- Library: transformers
- Task categories: zero-shot-classification
- Languages: multilingual, en, fr, es, de, el, bg, ru
- Referenced datasets: multi_nli, xnli
- Paper ids: 1911.02116
- Model-index entries: xlm-roberta-large-xnli
- Evaluation signals: 2 model-card eval results
- File hints: 10 upstream file samples

## Evaluation Signals

- XNLI: Accuracy = 0.834 (Zero-Shot Classification)
- XNLI: F1 Score = 0.833 (Zero-Shot Classification)

## Referenced Data

- Dataset: multi_nli
- Dataset: xnli
- Paper: 1911.02116

## File Hints

- .gitattributes (459 B)
- README.md (7.9 KB)
- config.json (734 B)
- model.safetensors (2.1 GB) LFS
- pytorch_model.bin (2.1 GB) LFS
- requirements.txt (67 B)
- sentencepiece.bpe.model (4.8 MB) LFS
- special_tokens_map.json (150 B)
- tf_model.h5 (2.1 GB) LFS
- tokenizer_config.json (426 B)

## Quality Checklist

- Summary: passed
- Description: passed
- Model card metadata: passed
- License: passed
- Provenance: passed
- File inventory: passed
- Hosted bytes: passed
- Scan result: passed
- Manifest signature: passed

## Safety Notes

- External catalog metadata imported from Hugging Face public API on 2026-09-03T01:58:31.723Z.
- Open license detected as mit.
- Model-index metadata found for xlm-roberta-large-xnli.
- Model card references dataset context: multi_nli, xnli.
- Not a run kit: hosted, hash-checked bytes only; run readiness is not certified for this model yet.

## Actions

- Web: https://huggingbay.xyz/artifact/hf-model-nahiar-zero-shot-classification
- Files API: https://huggingbay.xyz/api/artifacts/hf-model-nahiar-zero-shot-classification/files?limit=100
- Metadata: https://huggingbay.xyz/api/artifacts/hf-model-nahiar-zero-shot-classification/metadata.json
- Distribution: https://huggingbay.xyz/api/artifacts/hf-model-nahiar-zero-shot-classification/distribution
- Manifest: https://huggingbay.xyz/api/manifests/hf-model-nahiar-zero-shot-classification
- Download plan (per-file SHA-256 + signed download URLs): https://huggingbay.xyz/api/artifacts/hf-model-nahiar-zero-shot-classification/download-plan
- Hosted download rows: https://huggingbay.xyz/api/downloadable-files?artifactId=hf-model-nahiar-zero-shot-classification&limit=100
- Request mirror: not applicable.
- Submit peer fallback for review: POST https://huggingbay.xyz/api/artifacts/hf-model-nahiar-zero-shot-classification/decentralized-fallbacks