Update OpenMed MLX model card for public access

cec1b36 verified 15 days ago

3.16 kB

license: apache-2.0
base_model: OpenMed/OpenMed-NER-ProteinDetect-MultiMed-335M
pipeline_tag: token-classification
library_name: openmed
tags:
  - openmed
  - mlx
  - apple-silicon
  - token-classification
  - pii
  - de-identification
  - medical
  - clinical

OpenMed-NER-ProteinDetect-MultiMed-335M for OpenMed MLX

This repository contains an OpenMed MLX conversion of OpenMed/OpenMed-NER-ProteinDetect-MultiMed-335M for Apple Silicon inference with OpenMed.

Artifact metadata:

OpenMed MLX task: token-classification
OpenMed MLX family: bert
Weight format: safetensors
Runtime API: OpenMed MLX token-classification backend

OpenMed MLX Status

MLX rollout: refreshed for public access on 2026-06-23
Hub artifact: OpenMed MLX repository
Source checkpoint: OpenMed/OpenMed-NER-ProteinDetect-MultiMed-335M
Collection: OpenMed Medical MLX Models
Runtime: OpenMed Python MLX backend on Apple Silicon
Artifact layout: config.json, id2label.json, openmed-mlx.json, MLX weights, and tokenizer assets

Use This MLX Snapshot

Download this OpenMed MLX artifact directly from the Hub:

hf download OpenMed/OpenMed-NER-ProteinDetect-MultiMed-335M-mlx --local-dir ./OpenMed-NER-ProteinDetect-MultiMed-335M-mlx

Use the downloaded directory when you want to pin this exact MLX artifact in an offline or local Apple Silicon workflow.

Quick Start

pip install openmed
pip install "openmed[mlx]"

from openmed import analyze_text
from openmed.core.config import OpenMedConfig

result = analyze_text(
    "Patient John Doe, DOB 1990-05-15, SSN 123-45-6789",
    model_name="OpenMed/OpenMed-NER-ProteinDetect-MultiMed-335M",
    config=OpenMedConfig(backend="mlx"),
)

for entity in result.entities:
    print(entity.label, entity.text, round(entity.confidence, 4))

Swift and Apple Apps

Use Swift with OpenMedKit, not with MLX weight files directly.

Open Xcode and go to File > Add Package Dependencies.
Paste the OpenMed repository URL: https://github.com/maziyarpanahi/openmed
Choose the package product OpenMedKit from the repository.
Add a compatible CoreML model bundle plus id2label.json to your app target.

This MLX model is for Python services on Apple Silicon, local MLX inference on macOS, and Hub-hosted model distribution. If a given environment cannot write weights.safetensors, OpenMed falls back to weights.npz so the model remains usable.

Credits

Base checkpoint: OpenMed/OpenMed-NER-ProteinDetect-MultiMed-335M
OpenMed GitHub: https://github.com/maziyarpanahi/openmed
OpenMed website: https://openmed.life
MLX conversion and runtime support: OpenMed
Swift runtime for Apple apps: OpenMedKit from the OpenMed repository