Nucha_ITSkillNER_BERT safetensors download | Hugging Bay

Nucha

Nucha_ITSkillNER_BERT

Can I run Nucha_ITSkillNER_BERT on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 5 hosted files; check the file list for the exact selection. A file-size fit is an estimate, not a successful run or speed promise. Read the license before use.

Nucha_ITSkillNER_BERT is an open-weights language model for token classification. Model weights are learned parameters; a runtime loads them. Hosting files does not prove that a complete model runs.

As of the availability check on 2026-10-22.

Recorded SHA-256 for model.safetensors: 5110b7dbf6da5a5396ea394e4e74aca98ba40c92dab30dc6c148a535a7a0cc33. File evidence · Machine-readable facts · Run evidence and any recorded receipts · Proof Lab measurement policy. A checksum verifies byte identity, not safety; this answer asserts no measured runtime result.

Updated 2026-10-21 · Page text: As of 2026-10-21 · Content revision

Model metadata: As of 2026-09-23 at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked 2026-10-22.

Nucha/Nucha_ITSkillNER_BERT

Model details

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

Content controls: not assessed.

The catalog lists this model for labeling parts of text. Catalog sources: license, task, cardMetadata.pipelineTag.

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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

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

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

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