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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.

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FRED-T5-large-habr-summarizer

Can I run FRED-T5-large-habr-summarizer on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 7 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.

FRED-T5-large-habr-summarizer is an open-weights language model for summarization. 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: 9bd0a36a25ad5a5f121ddee8ef23c9be850305477861141a6ea0e13eca192e42. 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 .

basic-go/FRED-T5-large-habr-summarizer
Model details
summarizationLicense: apache-2.0SHA-256 recorded for 7 of 11 filessafetensors

Content controls: not assessed.

The catalog lists this model for summarizing text. Catalog sources: license, cardMetadata.license, baseModel, task, cardMetadata.pipelineTag.