bert-chunker-3 safetensors download (90 MB) | Hugging Bay

tim1900

bert-chunker-3

Can I run bert-chunker-3 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.

bert-chunker-3 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: 399ec30afa29944bf16700875fae902d9ac1a4d1218c3b6adaf47098843e4d1b. 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 2026-09-22 at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked 2026-10-22.

tim1900/bert-chunker-3

Model details

token classificationLicense: mitSHA-256 recorded for 5 of 8 filessafetensors

Content controls: not assessed.

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

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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-tim1900-bert-chunker-3/model.safetensors",
    "model.safetensors",
)

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5 hosted of 8 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors90 MB · 1 file Download · 90 MB (1 file)

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