atom-classifier safetensors download (539 MB) | Hugging Bay

Q: What is this model?

hyperquest/atom-classifier is an open-weights language model for token classification published by hyperquest, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for token classification: hyperquest/atom-classifier · 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 7 listed files; full count and size unknown. Full repo upstream: 543 MB. The recommended download, model.safetensors, is 539 MB.

Q: What can I download here?

Hosted here: at least 7 listed files; full count and size unknown. Full repo upstream: 543 MB. The original release is at https://huggingface.co/hyperquest/atom-classifier.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 7 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-hyperquest-atom-classifier/safety on Hugging Bay.

Q: Will hyperquest/atom-classifier 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.

hyperquest

atom-classifier

hyperquest/atom-classifier

token classificationLicense: apache-2.0Hashes recordedsafetensors · BIN

Content controls: not assessed.

Model from Hugging Face for token classification: hyperquest/atom-classifier · transformers

View as JSON →

7 hosted of 9 listed

Hashes recorded. Date not recorded.

File	Taille	SHA-256	Source	Télécharger
Weights
`model.safetensors` Default	539 MB	`e461492e…289a83b2` `e461492ea0142714ee7745aaf1a0487ba68b6fc2995a313424bf37ab289a83b2`	Hosted	Télécharger
`training_args.bin`	4.73 KB	`332f32c1…8d05c956` `332f32c145403a18d86eec3dd8808a4826ca48425efb9b63c5d303528d05c956`	Upstream only	File metadata
Tokenizer & config
`config.json`	1.33 KB	`36a1878a…3d66b6c5` `36a1878a0a258c9bff2de99e2ed76b122baafd7ca50762cec960c6143d66b6c5`	Hosted	Télécharger
`tokenizer.json`	2.92 MB	`4e8d2533…62d08bf3` `4e8d2533b6e39afe137ac1ff84390ef303f71f9c257aab2df09f4c6a62d08bf3`	Hosted	Télécharger
`tokenizer_config.json`	1.23 KB	`50fe7b13…32369ce8` `50fe7b1363485f896ccc2748084f5494448ca882ec54055d3928471532369ce8`	Hosted	Télécharger
`vocab.txt`	995.5 KB	`fe0fda7c…763f310c` `fe0fda7c425b48c516fc8f160d594c8022a0808447475c1a7c6d6479763f310c`	Hosted	Télécharger
`special_tokens_map.json`	125 bytes	`b6d346be…76237ee3` `b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3`	Hosted	Télécharger
Docs
`.gitattributes`	1.52 KB	—	Upstream only	File metadata
`README.md`	3.86 KB	`637ac961…36c25991` `637ac9618dca6776b6a3c597e63ea4578993979153ba8d554db938ea36c25991`	Hosted	Télécharger

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

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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.

atom-classifier

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