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jsuryanm

text-summarization-bart-cnn

Can I run text-summarization-bart-cnn 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.

text-summarization-bart-cnn 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: 9c2120cf7b8add8a9283abe2654530d39c5035acaea07d2d3f1491ffa1fe246a. 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 .

jsuryanm/text-summarization-bart-cnn
Model details
summarizationLicense: mitSHA-256 recorded for 5 of 7 filessafetensors

Content controls: not assessed.

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

Datos del modelo

text-summarization-bart-cnn is an open-weights language model for summarization. The primary file is model.safetensors (558 MB). The primary file needs about 2 GB free for the selected file (file plus room to run it). License: MIT. The SHA-256 prefix is 9c2120cf7b8a. 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.

Qué incluye

5 hosted of 7 listed

Weights
Tokenizer & config
README, LICENSE & .gitattributes

Acerca de este modelo

External Hugging Face catalog record for jsuryanm/text-summarization-bart-cnn. Task: summarization. Library: unknown. Languages: en. Datasets referenced by card metadata: abisee/cnn_dailymail. Popularity signal at import: 17 downloads and 0 likes.

Datos básicos

Hosted here
5 hosted of 7 listed
Full repo upstream
561.5 MB
Recommended file
557.9 MB · model.safetensors
Languages
en
Format
safetensors
File hashes
Hashes recorded. Date not recorded.

Licencia y origen

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
summarization
Hosted here
5 files, 561.5 MB
Full repo upstream
561.5 MB
Recommended file
557.9 MB · model.safetensors
Files
5 hosted of 7 listed
Added to Hugging Bay
Updated at source

FAQ

What is this model?

jsuryanm/text-summarization-bart-cnn is an open-weights language model for summarization published by jsuryanm, added to Hugging Bay Sep 25, 2026. Model from Hugging Face for summarization: jsuryanm/text-summarization-bart-cnn · unknown

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, 561.5 MB. Full repo upstream: 561.5 MB. The recommended download, model.safetensors, is 557.9 MB.

What can I download here?

Hosted here: 5 files, 561.5 MB. Full repo upstream: 561.5 MB. The original release is at https://huggingface.co/jsuryanm/text-summarization-bart-cnn.

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-jsuryanm-text-summarization-bart-cnn/safety on Hugging Bay.

Will jsuryanm/text-summarization-bart-cnn 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.