sbert_nli_test safetensors download (541 MB) | Hugging Bay

sbert_nli_test

akhooli/sbert_nli_test

Model details

sentence similarity and retrievalLicense: apache-2.0SHA-256 recorded for 8 of 12 filessafetensors

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The catalog lists this model for checking whether two sentences mean similar things. Catalog sources: license, cardMetadata.license, baseModel, task, cardMetadata.pipelineTag.

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from urllib.request import urlretrieve

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    "https://huggingbay.xyz/api/downloads/hf-model-akhooli-sbert-nli-test/model.safetensors",
    "model.safetensors",
)

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Selected downloadmodel.safetensors541 MB · 1 file Download · 541 MB (1 file)

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Modellinformationen

sbert_nli_test is an embedding model for sentence similarity and retrieval. The primary file is model.safetensors (541 MB). The primary file needs about 2 GB free for the selected file (file plus room to run it). License: Apache 2.0. The SHA-256 prefix is 817517829802. 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.

Enthaltene Dateien

8 hosted of 12 listed

Weights

Tokenizer & config

README, LICENSE & .gitattributes

Über dieses Modell

External Hugging Face catalog record for akhooli/sbert_nli_test. Task: sentence similarity. Library: sentence transformers. Languages: ar. Base model: aubmindlab/bert-base-arabertv02. Includes 5 model-card evaluation signals. Popularity signal at import: 90 downloads and 0 likes.

Kurzinfo

Hosted here: 8 hosted of 12 listed
Full repo upstream: 543.4 MB
Recommended file: 540.8 MB · model.safetensors
Languages: ar
Format: safetensors
Downloads on Hugging Face: 90
File hashes: Hashes recorded. Date not recorded.

Lizenz und Quelle

License: apache-2.0

8 hosted of 12 listed

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See the JSON record →

License: Apache 2.0. Free to use and share, keep the credit notice
Task: sentence similarity and retrieval
Hosted here: at least 8 listed files; full count and size unknown
Full repo upstream: 543.4 MB
Recommended file: 540.8 MB · model.safetensors
Files: 8 hosted of 12 listed
Download: Download here (8 hosted files)
Added to Hugging Bay: Sep 24, 2026
Updated at source: Sep 24, 2026
Source: akhooli/sbert_nli_test

FAQ

What is this model?

akhooli/sbert_nli_test is an embedding model for sentence similarity and retrieval published by akhooli, added to Hugging Bay Sep 24, 2026. Model from Hugging Face for sentence similarity: akhooli/sbert_nli_test · 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 8 listed files; full count and size unknown. Full repo upstream: 543.4 MB. The recommended download, model.safetensors, is 540.8 MB.

What can I download here?

Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: 543.4 MB. The original release is at https://huggingface.co/akhooli/sbert_nli_test.

File checks and computer fit

File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 8 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-akhooli-sbert-nli-test/safety on Hugging Bay.

Will akhooli/sbert_nli_test 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.