codebert-python safetensors download (499 MB) | Hugging Bay

Q: What is this model?

neulab/codebert-python is an open-weights language model for masked-language modeling published by neulab, added to Hugging Bay Sep 20, 2026. Model from Hugging Face for fill mask: neulab/codebert-python · transformers

Q: Can I use it commercially?

License: unknown. Check the upstream license text or ask the model author before commercial use.

Q: How big is it?

Hosted here: at least 5 listed files; full count and size unknown. Full repo upstream: 1 GB. The recommended download, model.safetensors, is 498.8 MB.

Q: What can I download here?

Hosted here: at least 5 listed files; full count and size unknown. Full repo upstream: 1 GB.

Q: 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-neulab-codebert-python/safety on Hugging Bay.

Q: Will neulab/codebert-python 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.

neulab

codebert-python

neulab/codebert-python

masked-language modelingLicense: unknownHashes recordedsafetensors · BIN

Content controls: not assessed.

Model from Hugging Face for fill mask: neulab/codebert-python · transformers

View as JSON →

5 hosted of 10 listed

Hashes recorded. Date not recorded.

File	Size	SHA-256	Source	Download
Weights
`model.safetensors` Default	498.8 MB	`b9602233…aa4a750c` `b96022334a02675d3cce85bc1ef159802c3e6724669393dc05e4eb53aa4a750c`	Hosted	Download
`pytorch_model.bin`	498.9 MB	`8130e873…13c8842a` `8130e8739f247fae8076d2c193f2363bbc6b88b391c1269448565a6d13c8842a`	Upstream only	File metadata
Tokenizer & config
`config.json`	703 bytes	`a5ae26f7…bfa989fd` `a5ae26f775fcd0eb186c1f0b50102f0866dbf4304509829de26c03dabfa989fd`	Hosted	Download
`merges.txt`	456.4 KB	—	Upstream only	File metadata
`tokenizer.json`	2.11 MB	`2ccf6c43…d9f4888e` `2ccf6c4346c2a8441ec36c5ed5561852c3ec01fdb8c9283af1b95281d9f4888e`	Hosted	Download
`tokenizer_config.json`	1.54 KB	`4a8a3de5…e8871f6e` `4a8a3de5571467eaa574029f982284a1b04f5a8027b842d9350028e2e8871f6e`	Hosted	Download
`vocab.json`	798.3 KB	—	Upstream only	File metadata
`special_tokens_map.json`	280 bytes	`06e405a3…6318067f` `06e405a36dfe4b9604f484f6a1e619af1a7f7d09e34a8555eb0b77b66318067f`	Hosted	Download
Docs
`.gitattributes`	1.44 KB	—	Upstream only	File metadata
`README.md`	853 bytes	—	Upstream only	File metadata

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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.

codebert-python

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