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classla

bcms-bertic-ner

classla/bcms-bertic-ner
token classificationLicense: apache-2.0Hashes recordedsafetensors · BIN

Content controls: not assessed.

Model from Hugging Face for token classification: classla/bcms-bertic-ner · transformers

Model facts

bcms-bertic-ner is an open-weights language model for token classification. The primary file is model.safetensors (440 MB). The primary file needs about 2 GB free for the selected file. License: Apache 2.0. The SHA-256 prefix is b09133ea0ba4. 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. The size line uses recorded file bytes when they are present in this model record.

What's included

5 hosted of 8 listed

Weights
Tokenizer & config
README, LICENSE & .gitattributes

About this model

External Hugging Face catalog record for classla/bcms-bertic-ner. Task: token classification. Library: transformers. Languages: hr, bs, sr, cnr, hbs. Popularity signal at import: 3,141 downloads and 10 likes.

Quick facts

Hosted here
5 hosted of 8 listed
Full repo upstream
880.6 MB
Recommended file
440.2 MB · model.safetensors
Languages
hr, bs, sr, cnr, hbs
Format
safetensors · BIN
Downloads on Hugging Face
564
File hashes
Hashes recorded. Date not recorded.

License & source

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 →

Task
token classification
Hosted here
at least 5 listed files; full count and size unknown
Full repo upstream
880.6 MB
Recommended file
440.2 MB · model.safetensors
Files
5 hosted of 8 listed
Added to Hugging Bay
Updated at source

FAQ

What is this model?

classla/bcms-bertic-ner is an open-weights language model for token classification published by classla, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for token classification: classla/bcms-bertic-ner · 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 5 listed files; full count and size unknown. Full repo upstream: 880.6 MB. The recommended download, model.safetensors, is 440.2 MB.

What can I download here?

Hosted here: at least 5 listed files; full count and size unknown. Full repo upstream: 880.6 MB. The original release is at https://huggingface.co/classla/bcms-bertic-ner.

File checks and computer fit
File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 5 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-classla-bcms-bertic-ner/safety on Hugging Bay.

Will classla/bcms-bertic-ner 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.