bart-base safetensors download (558 MB) | Hugging Bay

Q: What is this model?

facebook/bart-base is an embedding model for text embeddings published by facebook, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for feature extraction: facebook/bart-base · 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: 9 files, 2.23 GB. Full repo upstream: 2.23 GB. The recommended download, model.safetensors, is 557.7 MB.

Q: What can I download here?

Hosted here: 9 files, 2.23 GB. Full repo upstream: 2.23 GB. The original release is at https://huggingface.co/facebook/bart-base.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 9 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-facebook-bart-base/safety on Hugging Bay.

Q: Will facebook/bart-base 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.

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bart-base

facebook/bart-base

text embeddingsLicense: apache-2.0Hashes recordedsafetensors · BIN · H5

Content controls: not assessed.

Model from Hugging Face for feature extraction: facebook/bart-base · transformers

View as JSON →

9 hosted of 10 listed

Hashes recorded. Date not recorded.

File	Size	SHA-256	Source	Download
Weights
`model.safetensors` Default	557.7 MB	`1bd3ac8e…4781190b` `1bd3ac8e5b3ac71c77cf18fbcd8b113e0bfceced94c5cfbbb9a2b4bb4781190b`	Hosted	Download
`pytorch_model.bin`	557.8 MB	`6e4fdb5e…0341a2fd` `6e4fdb5e04114696ec4f7cc0cb5fc2a22a826f1c9eea234ca550b5390341a2fd`	Hosted	Download
Tokenizer & config
`config.json`	1.72 KB	`c4022c93…004c44e2` `c4022c931216afcb778991477332e5312aca8be478027ee3a8bf34b7004c44e2`	Hosted	Download
`flax_model.msgpack`	557.7 MB	`53dd3366…3aa79752` `53dd33667e5835469e2f7e32b51baf2356464ece3b80e3453a4febb83aa79752`	Hosted	Download
`merges.txt`	456.3 KB	`1ce16647…7726adc5` `1ce1664773c50f3e0cc8842619a93edc4624525b728b188a9e0be33b7726adc5`	Hosted	Download
`tf_model.h5`	558 MB	`7ed6459d…782bd286` `7ed6459d5365fb22f77ab71e7b27b1ff13fde4752d5600b449a1c1ad782bd286`	Hosted	Download
`tokenizer.json`	1.36 MB	`847bbeab…581df70e` `847bbeab6174d66a88898f729d52fa8d355fafe1bea101cf960dd404581df70e`	Hosted	Download
`vocab.json`	898.8 KB	`9e7f63c2…e6e50655` `9e7f63c2d15d666b52e21d250d2e513b87c9b713cfa6987a82ed89e5e6e50655`	Hosted	Download
Docs
`.gitattributes`	445 bytes	`98c91dab…927304c1` `98c91dabef4df27b2fc7c8454d220aba47476f73593cbd034d961fe4927304c1`	Upstream only	File metadata
`README.md`	2.59 KB	`98072cde…484e3097` `98072cdef48c6076f108099a2531166cd4112d0f60f31fb84a216830484e3097`	Hosted	Download

Check a download

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

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