alt.freeweights.vision / biomedical-ner-all-ONNX
From: onnx-community <huggingface.co/onnx-community>Newsgroups: alt.freeweights.visionSubject:

biomedical-ner-all-ONNX

Date: 2026-11-15Commit: 6ceb893Signed: 2DC28CC7B26A283B ✓

Token classification model. Onnx weights, 915 MB in all. Published by onnx-community under Apache-2.0.

vision915MBbiomedical-ner-all-ONNXonnxpermissive
FactsParamsnot statedSize915 MBFormatsonnxTasktoken classificationLicenseApache-2.0From sourcepermissive
$ fw get onnx-community/biomedical-ner-all-ONNX
# manifest sha256 014bebd2e87e… · 915 MB · 16 files
$ fw verify ./biomedical-ner-all-ONNX onnx-community/biomedical-ner-all-ONNX
From sourceHosted (signed)onnx-community/biomedical-ner-all-ONNXLast check: 2026-11-15 05:24 UTC

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Overview

Size
915 MB
Weights
67.0 MB (smallest of 8 ONNX variants)
Parameters
not stated
Formats
onnx
Task
token classification
License
Apache-2.0 (permissive)
Files
16, each with a sha256
Publisher
onnx-community
Added
2026-11-15
Section
alt.freeweights.vision
Lineage

Original release from the publisher.

Base model: d4data/biomedical-ner-all

Where these bytes come from
Publisher at the pinned commit→You

Sources are tried in order. A file counts only when its size and sha256 match the manifest. Sources are checked when you ask for them, not on a timer.

Sources
BadgeHostLast checkResult
From sourcehuggingface.co2026-11-15 05:24 UTCpassed

Model card

From the publisher at commit 6ceb893. Shown as plain text with links; images open at the publisher.

biomedical-ner-all (ONNX)#

This is an ONNX version of d4data/biomedical-ner-all. It was automatically converted and uploaded using this Hugging Face Space.

Usage with Transformers.js#

See the pipeline documentation for token-classification: https://huggingface.co/docs/transformers.js/api/pipelines#module_pipelines.TokenClassificationPipeline


About the Model#

An English Named Entity Recognition model, trained on Maccrobat to recognize the bio-medical entities (107 entities) from a given text corpus (case reports etc.). This model was built on top of distilbert-base-uncased

Checkout the tutorial video for explanation of this model and corresponding python library: https://youtu.be/xpiDPdBpS18

Usage#

The easiest way is to load the inference api from huggingface and second method is through the pipeline object offered by transformers library.

from transformers import pipeline
from transformers import AutoTokenizer, AutoModelForTokenClassification

tokenizer = AutoTokenizer.from_pretrained("d4data/biomedical-ner-all")
model = AutoModelForTokenClassification.from_pretrained("d4data/biomedical-ner-all")

pipe = pipeline("ner", model=model, tokenizer=tokenizer, aggregation_strategy="simple") # pass device=0 if using gpu
pipe("""The patient reported no recurrence of palpitations at follow-up 6 months after the ablation.""")

Author#

This model is part of the Research topic "AI in Biomedical field" conducted by Deepak John Reji, Shaina Raza. If you use this work (code, model or dataset), please star at:

https://github.com/dreji18/Bio-Epidemiology-NER

You can support me here :)#

Buy Me A Coffee

Files

16 files · 915 MBWeights 67.0 MB (smallest of 8 ONNX variants). Sizes and sha256 from the signed manifest.
Hide all 16 files with their sha256
FileSizesha256
.gitattributes1.52 KB11ad7efa24975ee4b0c3c3a38ed18737f0658a5f75a0a96787b576a78a023361
README.md3.71 KB5c37c9d7bba98d014c8ccccd3aa4bfd4f287ccd4e8ef8d51a22049f7147ea82e
config.json5.04 KB191ba33957599d992b60aa06844d5a4045b29fbb340b96e5b258019b57caf200
onnx/model.onnx266 MBa9314804ce03e4c1815044c98120bbd6c24e12e46689fb3c3ff72348521c4998
onnx/model_bnb4.onnx120 MB13b3d38c2b3c881242513c06852cefafc4618c07dca0b82a79bedf38677b651d
onnx/model_fp16.onnx133 MBa68957c8d140f5fc369f5a9f9ec961fd2bb7d16e0f3050671c6ba701771dad00
onnx/model_int8.onnx67.0 MB7f7fbaf4db27c9283fc32a26ad79028ee4f42817877da2a3193e62c3fcda3f00
onnx/model_q4.onnx122 MB6649b0c098a3064fe9ef0da4e28a95f54d9c23421f825364d82aecd03549d00a
onnx/model_q4f16.onnx71.9 MB37d9e32421695970e478f92f24a9fda3ff05276c3ad3ca2d50c959d618a61223
onnx/model_quantized.onnx67.0 MB7f7fbaf4db27c9283fc32a26ad79028ee4f42817877da2a3193e62c3fcda3f00
onnx/model_uint8.onnx67.0 MBdb474f6b0ee499270ed35ba76c2c5f39d7a23d5df43658219a613c58fbb6b58a
quantize_config.json310 B9b60b5877b9a1687b5cddbc06124a974cb7536af9dbf5295279bf73c3823170c
special_tokens_map.json695 B5d5b662e421ea9fac075174bb0688ee0d9431699900b90662acd44b2a350503a
tokenizer.json711 KB435667fab0c06c165b1283ecb422497c37124f2d6a35b2ac73dc876332fc9518
tokenizer_config.json1.35 KB57fe2986530bf3cabd211c1ad4935f0a272835b409a2767ac70e249f5343670d
vocab.txt232 KB07eced375cec144d27c900241f3e339478dec958f92fddbc551f295c992038a3
VersionsEach time the pinned upstream commit or file list changed in this repo. Newest first.
Upstream commitDateContents
6ceb893e77 pinned now2026-11-15 05:24 UTC16 files · 915 MB

Use it

$ fw get onnx-community/biomedical-ner-all-ONNX
# manifest sha256 014bebd2e87e… · 915 MB · 16 files
$ fw verify ./biomedical-ner-all-ONNX onnx-community/biomedical-ner-all-ONNX
fw.pyChecks the signature and every sha256, tries each source in order, resumes.
$ python3 fw.py get https://freeweights.allternit.com/manifests/onnx-community/biomedical-ner-all-ONNX.json --dir ./biomedical-ner-all-ONNX $ python3 fw.py verify ./biomedical-ner-all-ONNX ./onnx-community__biomedical-ner-all-ONNX.json
hfThe Hugging Face CLI with one setting. Same repo id.
$ HF_ENDPOINT=https://freeweights.allternit.com hf download onnx-community/biomedical-ner-all-ONNX --revision 6ceb893e772562380b0072dec34ef748e8faadd0 --local-dir ./biomedical-ner-all-ONNX

License

Name
Apache License 2.0
Id
Apache-2.0
Class
Permissive
Redistribution
yes
Listing
Hosted (signed)
Decided
License as declared by the publisher. No person read it. 2026-11-15
Text in
README.md
Text sha256
5c37c9d7bba98d014c8ccccd3aa4bfd4f287ccd4e8ef8d51a22049f7147ea82e
Terms gate
No extra terms beyond the license.

Read the license text

Licenses are checked against the license table. A custom license passes only after a person reads it.

Provenance

From: onnx-community <huggingface.co/onnx-community>Newsgroups: alt.freeweights.visionSubject: biomedical-ner-all-ONNXDate: 2026-11-15Commit: 6ceb893Signed: 2DC28CC7B26A283B ✓
Upstream
onnx-community/biomedical-ner-all-ONNX
Pinned commit
6ceb893e772562380b0072dec34ef748e8faadd0
Manifest
biomedical-ner-all-ONNX.json · .minisig
Manifest sha256
014bebd2e87e949dc13fa390e2b321befd747b8baa6845e2e9d7ca29bee563a0
Signature
minisign, Ed25519, key 2DC28CC7B26A283B
Created
2026-11-15 05:24 UTC
Generator
freeweights-manifest/0.1.0
Takedowns
None.

How to verify

$ curl -O https://freeweights.allternit.com/manifests/onnx-community/biomedical-ner-all-ONNX.json $ curl -O https://freeweights.allternit.com/manifests/onnx-community/biomedical-ner-all-ONNX.json.minisig $ minisign -Vm biomedical-ner-all-ONNX.json -P RWQ7KGqyx4zCLXtUFOqvfv8L3g+8fpKJ1FsuxPyOYMF+4KufbUxKq1Oq $ shasum -a 256 <file> # compare with the Files tab

A manifest whose signature fails must be rejected. A file whose size or sha256 does not match must be discarded. Verify a download

Model tree

Parent

d4data/biomedical-ner-all · this model is a quantization of it

No model in the catalog names this one as its parent.

Get it
Download
$ HF_ENDPOINT=https://freeweights.allternit.com hf download onnx-community/biomedical-ner-all-ONNX
Open in Freeweights Studio

Pull, verify and run it in the Allternit app on Desktop, web or phone.

Signed manifest
minisign, key 2DC28CC7B26A283B. biomedical-ner-all-ONNX.json. Provenance. Takedown history: none.
From: dima806 <huggingface.co/dima806>Subject: ai_vs_real_image_detection
From: legekka <huggingface.co/legekka>Subject: AI-Anime-Image-Detector-ViT
From: onnx-community <huggingface.co/onnx-community>Subject: AI-Anime-Image-Detector-ViT-ONNX
From: AICodexLab <huggingface.co/AICodexLab>Subject: answerdotai-ModernBERT-base-ai-detector
From: onnx-community <huggingface.co/onnx-community>Subject: answerdotai-ModernBERT-base-ai-detector-ONNX
From: onnx-community <huggingface.co/onnx-community>Subject: bart-large-cnn-ONNX