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universalml

Nepali_Embedding_Model

universalml/Nepali_Embedding_Model
Model details
sentence similarity and retrievalLicense: apache-2.0Hashes recordedsafetensors

Content controls: not assessed.

Listed for comparing sentences; for developers building text similarity tools. Catalog sources: license, task.

Qué incluye

Download availability is unknown.

Weights
Tokenizer & config
README, LICENSE & .gitattributes

Acerca de este modelo

External Hugging Face catalog record for universalml/Nepali_Embedding_Model. Popularity signal at import: 55 downloads and 5 likes. Files are listed for discovery and verification context, but this Hugging Bay pilot has not mirrored or rescanned the remote blobs. Use the upstream Hugging Face links for download until an explicit mirror job is approved.

Datos básicos

Full repo upstream
unknown
Recommended file
2.24 GB · model.safetensors
Format
safetensors
Downloads on Hugging Face
55
File hashes
Hashes recorded. Date not recorded.

Licencia y origen

License: apache-2.0

Check the license text and keep the required notices when you use or share the files.

Upstream source →

See the JSON record →

FAQ

What is this model?

universalml/Nepali_Embedding_Model is an embedding model for sentence similarity and retrieval published by universalml, added to Hugging Bay Jun 30, 2026. Model from Hugging Face: universalml/Nepali_Embedding_Model

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. The full repository size is not recorded. The recommended download, model.safetensors, is 2.24 GB.

What can I download here?

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

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-universalml-nepali-embedding-model/safety on Hugging Bay.

Will universalml/Nepali_Embedding_Model 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.

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