Segmentext safetensors download (1.11 GB) | Hugging Bay

Q: What is this model?

PleIAs/Segmentext is an open-weights language model for token classification published by PleIAs, added to Hugging Bay Jun 30, 2026. Model from Hugging Face for token classification: PleIAs/Segmentext · 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: 6 files, 1.13 GB. Full repo upstream: 1.13 GB. The recommended download, model.safetensors, is 1.11 GB.

Q: What can I download here?

Hosted here: 6 files, 1.13 GB. Full repo upstream: 1.13 GB. The original release is at https://huggingface.co/PleIAs/Segmentext.

Q: File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 6 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-pleias-segmentext/safety on Hugging Bay.

Q: Will PleIAs/Segmentext 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.

PleIAs

Segmentext

PleIAs/Segmentext

Model details

token classificationLicense: apache-2.0SHA-256 recorded for 8 of 11 filessafetensors · BIN

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-pleias-segmentext/model.safetensors",
    "model.safetensors",
)

Other ways

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6 hosted of 11 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors1.11 GB · 1 file Download · 1.11 GB (1 file)

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

6 hosted of 11 listed

Hashes recorded. Date not recorded.

File	Größe	SHA-256	Quelle	Herunterladen
Weights
`model.safetensors` Default	1.11 GB	`2f0c0705…d1f7da25` `2f0c0705f7bbd9a07f4aa93f78171f0f1d2f35e682c6577d23acb977d1f7da25`	Hosted	Herunterladen
`training_args.bin`	5.18 KB	`c7b75426…0ae6de2a` `c7b75426f22071a3597d193e00a877fdf4150f52c7987cd6705e72880ae6de2a`	Upstream only	File metadata
Tokenizer & config
`added_tokens.json`	23 bytes	`fb697283…adc9155a` `fb697283833d25e2c711f1bc37730ecd8b20f4bd5f015db1d84aefe0adc9155a`	Hosted	Herunterladen
`config.json`	1.44 KB	`7683eb70…bf03e045` `7683eb706bcc19d712daa222124530528a57ed6d09ddc9618c8ca6d2bf03e045`	Hosted	Herunterladen
`editorial_segmentation.png`	457.3 KB	—	Upstream only	File metadata
`special_tokens_map.json`	286 bytes	`9463f61e…b92369b9` `9463f61e1b109a8eb4688b829260d7c6b1e6dff04c98ff7269bb89e2b92369b9`	Hosted	Herunterladen
`spm.model`	4.31 MB	`13c8d666…5d86d6e3` `13c8d666d62a7bc4ac8f040aab68e942c861f93303156cc28f5c7e885d86d6e3`	Upstream only	File metadata
`tokenizer.json`	16.3 MB	`5e26ec8c…0d9d0bb9` `5e26ec8cd2234df8edcc6e8c207b66b3162360f9fdc46ee4526a440d0d9d0bb9`	Hosted	Herunterladen
`tokenizer_config.json`	1.28 KB	`fbab5e63…d7c1f77a` `fbab5e63e411db37631bc9eeaf5c628e9718be610838636ed76ebcc6d7c1f77a`	Hosted	Herunterladen
Docs
`.gitattributes`	1.57 KB	—	Upstream only	File metadata
`README.md`	1.98 KB	—	Upstream only	File metadata

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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.

Segmentext

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