bart-base-finetuned-findsum download | Hugging Bay

Q: What is this model?

Binaryy/bart-base-finetuned-findsum is an open-weights language model for summarization published by Binaryy, added to Hugging Bay Sep 25, 2026. Model from Hugging Face for summarization: Binaryy/bart-base-finetuned-findsum · transformers

Q: Can I use it commercially?

It is released under the apache-2.0 license. Commercial use is allowed. Permissive open license: commercial use, modification, and redistribution are permitted.

Q: How big is it?

Hosted here: at least 6 listed files; full count and size unknown. Full repo upstream: 561.3 MB. The recommended download, model.safetensors, is 557.9 MB.

Q: What can I download here?

Hosted here: at least 6 listed files; full count and size unknown. Full repo upstream: 561.3 MB. The original release is at https://huggingface.co/Binaryy/bart-base-finetuned-findsum.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 6 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-binaryy-bart-base-finetuned-findsum/safety on Hugging Bay.

Q: Will Binaryy/bart-base-finetuned-findsum 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.

Binaryy

bart-base-finetuned-findsum

Binaryy/bart-base-finetuned-findsum

Model details

summarizationLicense: apache-2.0SHA-256 recorded for 14 of 18 filessafetensors · BIN

Content controls: not assessed.

Listed for summarizing text; for developers building summarization tools. Catalog sources: license, cardMetadata.license, baseModel, task, cardMetadata.pipelineTag.

View as JSON →

Your next step

Use it from code

This Python snippet downloads the selected file. Running the model needs its own library and setup.

from urllib.request import urlretrieve

urlretrieve(
    "https://huggingbay.xyz/api/downloads/hf-model-binaryy-bart-base-finetuned-findsum/model.safetensors",
    "model.safetensors",
)

Other ways

Run it on your computerOpen in Hugging Bay appSend to a computerApp links support one GGUF file.

6 hosted of 18 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors558 MB · 1 file Download · 558 MB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

Compare your file’s SHA-256 with the recorded hash.

6 hosted of 18 listed

Hashes recorded. Date not recorded.

File	आकार	SHA-256	स्रोत	डाउनलोड करें
Weights
`model.safetensors` Default	557.9 MB	`96d81808…67f8f165` `96d8180869ef43d1e66c67c2799011c7468d55779cd8752baa41998a67f8f165`	Hosted	डाउनलोड करें
`training_args.bin`	5.11 KB	`9e434468…33d72a3f` `9e4344689fd7f933d1af36684672db103bb28773484a477c8ed8da3b33d72a3f`	Upstream only	File metadata
Tokenizer & config
`config.json`	1.74 KB	`4c94dd47…2ac040ae` `4c94dd4795be960f6f072fe7e17b9a936c68437b4ce1fdc6d5e6de082ac040ae`	Hosted	डाउनलोड करें
`generation_config.json`	262 bytes	`dcebb0d0…5a2656de` `dcebb0d0ab2e5bcfd0b1af8e89c7ae9972317d13798f8e349fd3a5395a2656de`	Hosted	डाउनलोड करें
`merges.txt`	456.3 KB	—	Upstream only	File metadata
`runs/Mar23_12-35-36_e3f85a61a8ca/events.out.tfevents.1711197338.e3f85a61a8ca.34.0`	11.6 KB	`0a8ebefd…6cb14874` `0a8ebefd207f7518279ea505d87e71acbce2f96bfd02465192bed91f6cb14874`	Upstream only	File metadata
`runs/Mar23_12-35-36_e3f85a61a8ca/events.out.tfevents.1711202684.e3f85a61a8ca.34.1`	6.54 KB	`e2912354…ececcf86` `e29123549602e024579c1c2ec66bf28aac64710f8d813e9e29f9818bececcf86`	Upstream only	File metadata
`runs/Mar23_15-25-58_0083537cc1d0/events.out.tfevents.1711207883.0083537cc1d0.34.0`	6.52 KB	`667dfcd9…26fd5cc5` `667dfcd9c5122741e89bc0aaf0dd76e21c9a4b8c26e59a5eafdbd60f26fd5cc5`	Upstream only	File metadata
`runs/Mar23_17-20-52_b0c09c714ac1/events.out.tfevents.1711214454.b0c09c714ac1.34.0`	7 KB	`ee5d5d90…dd7562a7` `ee5d5d90e6a3b12aeedb4f20b305424475fa2229c80df930d6e7890edd7562a7`	Upstream only	File metadata
`runs/Mar29_09-18-36_bde8a01690cd/events.out.tfevents.1711703924.bde8a01690cd.34.0`	7 KB	`58cf9e5d…78e60d65` `58cf9e5dcf64197338d5d81a6a7c92ce4c9fc0b9a5d0b33b3e8cc6d378e60d65`	Upstream only	File metadata
`runs/Mar30_08-37-27_a8809679dde4/events.out.tfevents.1711787849.a8809679dde4.34.0`	7.83 KB	`e59a96d7…30482753` `e59a96d7509ab8eb1fd2cc9a0eeb2d405e1609a04706dda8a3c5acca30482753`	Upstream only	File metadata
`runs/Mar30_08-37-27_a8809679dde4/events.out.tfevents.1711793060.a8809679dde4.34.1`	562 bytes	`eae3c6a1…c0da95bb` `eae3c6a1bf7dbcb6d910979d1634c2277f42c70512ffb52099225fa0c0da95bb`	Upstream only	File metadata
`tokenizer.json`	2.11 MB	`8f886f01…0d60f365` `8f886f015981a7a64053bf0cadccb44b2bd761c3e90856c6fd32adf30d60f365`	Hosted	डाउनलोड करें
`tokenizer_config.json`	1.21 KB	`d1718cdd…d54ed6f3` `d1718cdd45c507d38210c41320f2e45f162bbdf1cc42d94d7b11cea4d54ed6f3`	Hosted	डाउनलोड करें
`vocab.json`	798.3 KB	—	Upstream only	File metadata
`special_tokens_map.json`	279 bytes	`d5469a60…77b1b535` `d5469a60db23249c7f8945013d78df30b44b6bf686c6bb4740f4223f77b1b535`	Hosted	डाउनलोड करें
Docs
`.gitattributes`	1.52 KB	—	Upstream only	File metadata
`README.md`	1.89 KB	—	Upstream only	File metadata

डाउनलोड की जाँच करें

In the folder where you saved model.safetensors, run:

macOS

shasum -a 256 -- 'model.safetensors'

Linux

sha256sum -- 'model.safetensors'

Windows

Get-FileHash -LiteralPath 'model.safetensors' -Algorithm SHA256

Compare the result with the recorded SHA-256.

bart-base-finetuned-findsum

डाउनलोड की जाँच करें

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