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-summarizerMachine-readable artifact endpoints
- Agent metadata JSON
- Card JSON
- Card Markdown
- Distribution API
- Reviewed peer fallbacks API
- Files API
- Reviews API
- Manifest JSON
Not run yet