ModernBERT-base-nli safetensors download | Hugging Bay

tasksource

ModernBERT-base-nli

tasksource/ModernBERT-base-nli

zero-shot classificationLicense: apache-2.0Hashes recordedsafetensors

Content controls: not assessed.

Model from Hugging Face for zero shot classification: tasksource/ModernBERT-base-nli · transformers

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Model facts

ModernBERT-base-nli is an open-weights language model for zero-shot classification. The primary file is model.safetensors (598 MB). The primary file needs about 2 GB free for the selected file. License: Apache 2.0. The SHA-256 prefix is 86c32c52ce38. 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

6 hosted of 7 listed

Weights

Tokenizer & config

README, LICENSE & .gitattributes

About this model

External Hugging Face catalog record for tasksource/ModernBERT-base-nli. Task: zero shot classification. Library: transformers. Languages: en. Datasets referenced by card metadata: nyu-mll/glue, facebook/anli. Popularity signal at import: 14,174 downloads and 29 likes.

Quick facts

Hosted here: 6 hosted of 7 listed
Full repo upstream: 602.1 MB
Recommended file: 598.4 MB · model.safetensors
Languages: en
Format: safetensors
Downloads on Hugging Face: 5,440
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 →

License: Apache 2.0. Free to use and share, keep the credit notice
Task: zero-shot classification
Hosted here: at least 6 listed files; full count and size unknown
Full repo upstream: 602.1 MB
Recommended file: 598.4 MB · model.safetensors
Files: 6 hosted of 7 listed
Download: Download here (6 hosted files)
Added to Hugging Bay: Jun 30, 2026
Updated at source: Aug 28, 2026
Source: tasksource/ModernBERT-base-nli

FAQ

What is this model?

tasksource/ModernBERT-base-nli is an open-weights language model for zero-shot classification published by tasksource, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for zero shot classification: tasksource/ModernBERT-base-nli · 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 6 listed files; full count and size unknown. Full repo upstream: 602.1 MB. The recommended download, model.safetensors, is 598.4 MB.

What can I download here?

Hosted here: at least 6 listed files; full count and size unknown. Full repo upstream: 602.1 MB. The original release is at https://huggingface.co/tasksource/ModernBERT-base-nli.

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-tasksource-modernbert-base-nli/safety on Hugging Bay.

Will tasksource/ModernBERT-base-nli 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.