Nucha_ITSkillNER_BERT safetensors download | Hugging Bay

Q: What is this model?

Nucha/Nucha_ITSkillNER_BERT is an open-weights language model for token classification published by Nucha, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for token classification: Nucha/Nucha_ITSkillNER_BERT · unknown

Q: 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.

Q: How big is it?

Hosted here: at least 5 listed files; full count and size unknown. Full repo upstream: 435.8 MB. The recommended download, model.safetensors, is 435.6 MB.

Q: What can I download here?

Hosted here: at least 5 listed files; full count and size unknown. Full repo upstream: 435.8 MB. The original release is at https://huggingface.co/Nucha/Nucha_ITSkillNER_BERT.

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-nucha-nucha-itskillner-bert/safety on Hugging Bay.

Q: Will Nucha/Nucha_ITSkillNER_BERT 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.

Nucha

Nucha_ITSkillNER_BERT

Nucha/Nucha_ITSkillNER_BERT

Model details

token classificationLicense: mitSHA-256 recorded for 5 of 7 filessafetensors

Content controls: not assessed.

Listed for labeling parts of text; for developers building token classifiers. Catalog sources: license, 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-nucha-nucha-itskillner-bert/model.safetensors",
    "model.safetensors",
)

Other ways

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

5 hosted of 7 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors436 MB · 1 file Download · 436 MB (1 file)

Open-file help

Content controls: not assessed.

Check your download →

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

5 hosted of 7 listed

Hashes recorded. Date not recorded.

File	Taille	SHA-256	Source	Télécharger
Weights
`model.safetensors` Default	435.6 MB	`5110b7db…a7a0cc33` `5110b7dbf6da5a5396ea394e4e74aca98ba40c92dab30dc6c148a535a7a0cc33`	Hosted	Télécharger
Tokenizer & config
`config.json`	901 bytes	`3a4ed4ac…1370ff2e` `3a4ed4acb1aa060970cb62108b9f265b8e83e35c182bd81cf97a95b11370ff2e`	Hosted	Télécharger
`tokenizer_config.json`	1.24 KB	`0b29c7bf…b2029f53` `0b29c7bfc889e53b36d9dd3e686dd4300f6525110eaa98c76a5dafceb2029f53`	Hosted	Télécharger
`vocab.txt`	231.5 KB	`07eced37…992038a3` `07eced375cec144d27c900241f3e339478dec958f92fddbc551f295c992038a3`	Hosted	Télécharger
`special_tokens_map.json`	125 bytes	`b6d346be…76237ee3` `b6d346be366a7d1d48332dbc9fdf3bf8960b5d879522b7799ddba59e76237ee3`	Hosted	Télécharger
Docs
`.gitattributes`	1.52 KB	—	Upstream only	File metadata
`README.md`	5.41 KB	—	Upstream only	File metadata

Vérifier un téléchargement

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.

Nucha_ITSkillNER_BERT

Vérifier un téléchargement

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