metadata
license: apache-2.0
pipeline_tag: token-classification
library_name: openmed
tags:
- openmed
- medical-nlp
OpenMed-NER-PathologyDetect-TinyMed-65M-v1-onnx-android
This model card is rendered from the OpenMed model manifest. Update models.jsonl and rerun the publish step instead of editing this file directly.
OpenMed in Python on CPU
from openmed import OnnxModel
model = OnnxModel.from_pretrained("OpenMed/OpenMed-NER-PathologyDetect-TinyMed-65M-v1-onnx-android")
entities = model("Patient Alice Nguyen was seen in cardiology.")
OpenMed in Web
import { loadOnnxModel } from "@openmed/openmedkit-web";
const model = await loadOnnxModel("OpenMed/OpenMed-NER-PathologyDetect-TinyMed-65M-v1-onnx-android");
const entities = await model("Patient Alice Nguyen was seen in cardiology.");
OpenMedKit for Android
val model = OpenMedKit.fromDirectory(modelDirectory)
val entities = model.analyzeText("Patient Alice Nguyen was seen in cardiology.")
Manifest Summary
| Field | Value |
|---|---|
| Repository | OpenMed/OpenMed-NER-PathologyDetect-TinyMed-65M-v1-onnx-android |
| Family | NER |
| Task | token-classification |
| Languages | en |
| Tier | Tiny |
| Parameters | 65M (65,000,000) |
| Architecture | distilbert |
| Base model | OpenMed/OpenMed-NER-PathologyDetect-TinyMed-65M |
| Formats | onnx-android, int8, ort-android |
| License | apache-2.0 |
| arXiv | arXiv:2508.01630 |
| Reproducibility hash | sha256:2c4c1ab9f259bc95c8c116a658769e4714101607459b231950420826c705d87a |
| Released | 2026-07-09 |
Benchmark
| Dataset | Micro F1 | Recall |
|---|---|---|
| Not reported | Not reported | Not reported |
Canonical Labels
Disease
Artifact Format
| Field | Value |
|---|---|
| Runtime artifacts | onnx-android, ort-android |
| Quantization | int8 |