biomedical-ner-all safetensors download | Hugging Bay

d4data

biomedical-ner-all

Can I run biomedical-ner-all on my computer?

It depends on your memory, processor, file format and runtime. Hugging Bay offers 8 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.

biomedical-ner-all 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: d744b846a71ce6ccdb49d7bfe5097eadc41e766ffd28481e1636ed796e820165. 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 2026-08-28 at the model source. Popularity counters are source-reported, not measured by Hugging Bay. Availability checked 2026-10-22.

d4data/biomedical-ner-all

Model details

token classificationLicense: apache-2.0SHA-256 recorded for 8 of 9 filessafetensors · BIN

Content controls: not assessed.

The catalog lists this model for labeling parts of text. Catalog sources: license, cardMetadata.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-d4data-biomedical-ner-all/model.safetensors",
    "model.safetensors",
)

Other ways

This file cannot open in the app. The app supports one GGUF file at a time.

See app requirements

8 hosted of 9 listed · Hashes recorded. Date not recorded.

Selected downloadmodel.safetensors266 MB · 1 file Download · 266 MB (1 file)

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

模型信息

biomedical-ner-all is an open-weights language model for token classification. The primary file is model.safetensors (266 MB). The primary file needs about 2 GB free for the selected file (file plus room to run it). License: Apache 2.0. The SHA-256 prefix is d744b846a71c. The primary Download is available now. No tested run commands for this file yet. See Files for current download availability. The size and hash details refer to the selected file, not every file in the repository. The memory figure is estimated from recorded file size with working room included.

包含内容

8 hosted of 9 listed

Weights

Tokenizer & config

README, LICENSE & .gitattributes

关于此模型

External Hugging Face catalog record for d4data/biomedical-ner-all. Task: token classification. Library: transformers. Languages: en. Popularity signal at import: 78,080 downloads and 194 likes.

基本信息

Hosted here: 8 hosted of 9 listed
Full repo upstream: 532.4 MB
Recommended file: 265.7 MB · model.safetensors
Languages: en
Format: safetensors · BIN
File hashes: Hashes recorded. Date not recorded.

许可证与来源

License: apache-2.0

8 hosted of 9 listed

Check the license text and keep the required notices when you use or share the files.

Upstream source →

See the JSON record →

License: Apache 2.0. Free to use and share, keep the credit notice
Task: token classification
Hosted here: at least 8 listed files; full count and size unknown
Full repo upstream: 532.4 MB
Recommended file: 265.7 MB · model.safetensors
Files: 8 hosted of 9 listed
Download: Download here (8 hosted files)
Added to Hugging Bay: Jun 29, 2026
Updated at source: Aug 28, 2026
Source: d4data/biomedical-ner-all

FAQ

What is this model?

d4data/biomedical-ner-all is an open-weights language model for token classification published by d4data, added to Hugging Bay Jun 29, 2026. Model from Hugging Face for token classification: d4data/biomedical-ner-all · transformers

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.

How big is it?

Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: 532.4 MB. The recommended download, model.safetensors, is 265.7 MB.

What can I download here?

Hosted here: at least 8 listed files; full count and size unknown. Full repo upstream: 532.4 MB. The original release is at https://huggingface.co/d4data/biomedical-ner-all.

File checks and computer fit

File pattern scans

Automated file-pattern scans flagged nothing; not a safety guarantee. 8 hosted files carry a published SHA-256 you can re-hash. The machine-readable verdict is at /api/artifacts/hf-model-d4data-biomedical-ner-all/safety on Hugging Bay.

Will d4data/biomedical-ner-all 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.