Ir para o conteúdo principal

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.

VMware

bert-tiny-mrqa

Can I run bert-tiny-mrqa 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.

bert-tiny-mrqa is an open-weights language model for question answering. Model weights are learned parameters; a runtime loads them. Hosting files does not prove that a complete model runs.

As of the availability check on .

Recorded SHA-256 for model.safetensors: f4d0e75437c331f0ad3cc94fcf186b51dea7195d36083f290025a5d06d499f87. File evidence · Machine-readable facts · Run evidence and any recorded receipts · Proof Lab measurement policy. A checksum verifies byte identity, not safety; this answer asserts no measured runtime result.

Updated · Page text: As of · Content revision

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

VMware/bert-tiny-mrqa
Model details
question answeringLicense: apache-2.0SHA-256 recorded for 6 of 9 filessafetensors · BIN

Content controls: not assessed.

The catalog lists this model for answering questions. Catalog sources: license, cardMetadata.license, task, cardMetadata.pipelineTag.

No recent measured run

Fresh signed measurements are unavailable for this file.

Browse other models, or check this page again later for measured results.

Browse models

How we measure