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Two small chat models run in a computer’s browser here; every other model is a file you download.

DeepMostInnovations

hindi-embedding-foundational-model

DeepMostInnovations/hindi-embedding-foundational-model
Model details
sentence similarity and retrievalLicense: mitSHA-256 recorded for 8 of 21 filesPT · safetensors

Content controls: not assessed.

The catalog lists this model for turning text into vectors. Catalog sources: license, tags, task.

Informações do modelo

hindi-embedding-foundational-model is an embedding model for sentence similarity and retrieval. The primary file is embedding_model.safetensors (393 MB). The primary file needs about 2 GB free for the selected file (file plus room to run it). License: MIT. The SHA-256 prefix is 0299bf5e9706. 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 21 listed

Weights
Tokenizer & config
README, LICENSE & .gitattributes

Sobre este modelo

External Hugging Face catalog record for DeepMostInnovations/hindi-embedding-foundational-model. Popularity signal at import: 21 downloads and 4 likes.

Informações básicas

Hosted here
8 hosted of 21 listed
Full repo upstream
unknown
Recommended file
392.7 MB · embedding_model.safetensors
Format
PT · safetensors
Downloads on Hugging Face
21
File hashes
Hashes recorded. Date not recorded.

Licença e origem

License: mit

8 hosted of 21 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
8 files, 393.4 MB
Full repo upstream
unknown
Recommended file
392.7 MB · embedding_model.safetensors
Files
8 hosted of 21 listed
Added to Hugging Bay
Updated at source

FAQ

What is this model?

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

Can I use it commercially?

It is released under the mit license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

How big is it?

Hosted here: 8 files, 393.4 MB. The full repository size is not recorded. The recommended download, embedding_model.safetensors, is 392.7 MB.

What can I download here?

Hosted here: 8 files, 393.4 MB. Full repo upstream: unknown. The original release is at https://huggingface.co/DeepMostInnovations/hindi-embedding-foundational-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-deepmostinnovations-hindi-embedding-foundational-model/safety on Hugging Bay.

Will DeepMostInnovations/hindi-embedding-foundational-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.