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rushabhGod

lilt-en-funsd

rushabhGod/lilt-en-funsd
token classificationLicense: mitHashes recordedsafetensors · BIN

Content controls: not assessed.

Model from Hugging Face for token classification: rushabhGod/lilt-en-funsd · transformers

Datos del modelo

lilt-en-funsd is an open-weights language model for token classification. The primary file is model.safetensors (521 MB). The primary file needs about 2 GB free for the selected file. License: MIT. The SHA-256 prefix is dce5cd6a1503. 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.

Qué incluye

6 hosted of 28 listed

Weights
Tokenizer & config
README, LICENSE & .gitattributes

Acerca de este modelo

External Hugging Face catalog record for rushabhGod/lilt-en-funsd. Task: token classification. Library: transformers. Base model: SCUT-DLVCLab/lilt-roberta-en-base. Files we host have a published SHA-256.

Datos básicos

Hosted here
6 hosted of 28 listed
Full repo upstream
525.7 MB
Recommended file
520.7 MB · model.safetensors
Format
safetensors · BIN
Downloads on Hugging Face
44
File hashes
Hashes recorded. Date not recorded.

Licencia y origen

License: mit

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
6 files, 524.3 MB
Full repo upstream
525.7 MB
Recommended file
520.7 MB · model.safetensors
Files
6 hosted of 28 listed
Added to Hugging Bay
Updated at source

FAQ

What is this model?

rushabhGod/lilt-en-funsd is an open-weights language model for token classification published by rushabhGod, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for token classification: rushabhGod/lilt-en-funsd · transformers

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: 6 files, 524.3 MB. Full repo upstream: 525.7 MB. The recommended download, model.safetensors, is 520.7 MB.

What can I download here?

Hosted here: 6 files, 524.3 MB. Full repo upstream: 525.7 MB. The original release is at https://huggingface.co/rushabhGod/lilt-en-funsd.

File checks and computer fit
File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 6 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-rushabhgod-lilt-en-funsd/safety on Hugging Bay.

Will rushabhGod/lilt-en-funsd 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.