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ValentinaKim

Multilingual-base-soil-embedding

Can I run Multilingual-base-soil-embedding on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 8 hosted files; check the file list for the exact selection. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.

Multilingual-base-soil-embedding is an embedding model for sentence similarity and retrieval. Model weights are learned parameters; a runtime loads them. Hosting files does not prove that a complete model runs.

As of the availability check on .

Recorded SHA-256 for model.safetensors: 8fefd3648885dbef088f6d9e5c87d488742493440adabea90311199a5a13ffef. File evidence · Machine-readable facts · Run evidence and any recorded receipts · Proof Lab measurement policy. A checksum verifies byte identity, not safety; this answer asserts no measured runtime result.

Updated · Page text: As of · Content revision

Model metadata: As of at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked .

ValentinaKim/Multilingual-base-soil-embedding
Model details
sentence similarity and retrievalLicense: apache-2.0SHA-256 recorded for 8 of 11 filessafetensors

Content controls: not assessed.

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

Informações do modelo

Multilingual-base-soil-embedding is an embedding model for sentence similarity and retrieval. The primary file is model.safetensors (471 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 8fefd3648885. 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.

O que está incluído

8 hosted of 11 listed

Weights
Tokenizer & config
README, LICENSE & .gitattributes

Sobre este modelo

External Hugging Face catalog record for ValentinaKim/Multilingual-base-soil-embedding. Task: sentence similarity. Library: sentence transformers. Languages: multilingual. Base model: intfloat/multilingual-e5-small. Includes 12 model-card evaluation signals. Popularity signal at import: 92 downloads and 0 likes.

Informações básicas

Hosted here
8 hosted of 11 listed
Full repo upstream
487.7 MB
Recommended file
470.6 MB · model.safetensors
Languages
multilingual
Format
safetensors
File hashes
Hashes recorded. Date not recorded.

Licença e origem

License: apache-2.0

8 hosted of 11 listed

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

Upstream source →

See the JSON record →

Task
sentence similarity and retrieval
Hosted here
at least 8 listed files; full count and size unknown
Full repo upstream
487.7 MB
Recommended file
470.6 MB · model.safetensors
Files
8 hosted of 11 listed
Added to Hugging Bay
Updated at source

FAQ

What is this model?

ValentinaKim/Multilingual-base-soil-embedding is an embedding model for sentence similarity and retrieval published by ValentinaKim, added to Hugging Bay Sep 24, 2026. Model from Hugging Face for sentence similarity: ValentinaKim/Multilingual-base-soil-embedding · 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: 487.7 MB. The recommended download, model.safetensors, is 470.6 MB.

What can I download here?

Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: 487.7 MB. The original release is at https://huggingface.co/ValentinaKim/Multilingual-base-soil-embedding.

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-valentinakim-multilingual-base-soil-embedding/safety on Hugging Bay.

Will ValentinaKim/Multilingual-base-soil-embedding 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.