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AI models that run on this device.

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

PortBERT

PortBERT_large

PortBERT/PortBERT_large
Model details
masked-language modelingLicense: mitSHA-256 recorded for 6 of 7 filessafetensors · BIN

Content controls: not assessed.

The catalog lists this model for filling in missing words in text. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

Quick answer: compatibility and sources

Can I run PortBERT_large on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 5 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.

PortBERT_large is an open-weights language model for masked-language modeling. Model weights are learned parameters; a runtime loads them. A hosted file is an individual file Hugging Bay can serve. SHA-256 identifies exact file bytes. The availability date above applies to this file record, not the upstream metadata update date.

As of the recorded file availability check on .

Recorded SHA-256 for model.safetensors: a4577493a2f6851cd33f4a597e19c5b05ecb1cab8bb64249fb83daa29e921b21. Exact file evidence · Machine-readable source facts · Run evidence and any recorded receipts. A checksum fingerprints only the named file bytes; it does not prove safety, quality, a complete multi-file selection or a successful run.

Updated · Page-copy source revision 8871bab84e1cf80aea1686a944ec335078a6c036 · Source files: apps/web/lib/model-page-template.mjs, apps/web/lib/model-page-v3.mjs, apps/web/lib/aeo-page.mjs · Full revision record

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

Key facts

Catalog record
Summarizes upstream metadata; it is not itself a download or run receipt.
File evidence
Lists exact filenames, availability and any recorded SHA-256 for individual files.
Run evidence
Reports measured results only when a receipt exists for named file bytes and a setup; otherwise unmeasured.
Checksum scope
SHA-256 fingerprints one file’s bytes; it does not prove safety, quality or a multi-file bundle.

Evidence you can inspect (plain text)

  • This page’s quick answer names the file record for hf-model-portbert-portbert-large.
  • Open /artifact/hf-model-portbert-portbert-large/files for this exact filenames, availability and any recorded SHA-256.
  • Open /evidence/artifacts/hf-model-portbert-portbert-large for run-readiness evidence tied to that record; absent receipts stay unmeasured.
  • Open /api/artifacts/hf-model-portbert-portbert-large/card.md for machine-readable source facts (not a runtime test).
  • A matching checksum on this page fingerprints only the named bytes shown in file evidence.

Unmeasured states are stated explicitly; this page does not invent run scores or compatibility guarantees.

Which date applies to which fact

  • File availability check:
  • Committed page-copy sources:
  • Upstream model metadata: Dates on artifact records when shown; not implied by page-copy revision
  • Run receipts: Only on /evidence pages when recorded; otherwise unmeasured

Page-copy revision (Updated line above) identifies committed text sources, not upstream model edits or test outcomes.

Enthaltene Dateien

5 hosted of 7 listed

Weights
Tokenizer & config
README, LICENSE & .gitattributes

Über dieses Modell

External Hugging Face catalog record for PortBERT/PortBERT_large. Task: fill mask. Library: pytorch. Languages: pt. Datasets referenced by card metadata: uonlp/CulturaX, extraGLUE. Popularity signal at import: 27 downloads and 0 likes.

Kurzinfo

Hosted here
5 hosted of 7 listed
Full repo upstream
2.86 GB
Recommended file
2.86 GB (2 files)
Languages
pt
Format
safetensors · BIN
File hashes
Hashes recorded. Date not recorded.

Lizenz und Quelle

License: mit

5 hosted of 7 listed

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

Upstream source →

See the JSON record →

Task
masked-language modeling
Hosted here
5 files, 1.43 GB
Full repo upstream
2.86 GB
Recommended file
2.86 GB (2 files)
Files
5 hosted of 7 listed
Added to Hugging Bay
Updated at source

FAQ

What is this model?

PortBERT/PortBERT_large is an open-weights language model for masked-language modeling published by PortBERT, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for fill mask: PortBERT/PortBERT_large · pytorch

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: 5 files, 1.43 GB. Full repo upstream: 2.86 GB. The recommended download, a 2-file weight set, is 2.86 GB.

What can I download here?

Hosted here: 5 files, 1.43 GB. Full repo upstream: 2.86 GB. The original release is at https://huggingface.co/PortBERT/PortBERT_large.

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-portbert-portbert-large/safety on Hugging Bay.

Will PortBERT/PortBERT_large 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.

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