README.md

metadata

license: apache-2.0
base_model: OpenMed/OpenMed-PII-Telugu-BigMed-Large-278M-v1
pipeline_tag: token-classification
library_name: openmed
tags:
  - openmed
  - mlx
  - apple-silicon
  - token-classification
  - pii
  - de-identification
  - medical
  - clinical

OpenMed-PII-Telugu-BigMed-Large-278M-v1 for OpenMed MLX

This repository contains a private MLX packaging of OpenMed/OpenMed-PII-Telugu-BigMed-Large-278M-v1 for Apple Silicon inference with OpenMed.

OpenMed is the main product experience:

• Install the Python package with pip install openmed
• Enable Apple Silicon acceleration with pip install "openmed[mlx]"
• Run the same OpenMed API you already use, now backed by MLX on macOS
• For Apple apps, use OpenMedKit from the same GitHub repository with a CoreML bundle

This MLX repo is meant to pair with:

• OpenMed GitHub: https://github.com/maziyarpanahi/openmed
• OpenMed website: https://openmed.life
• Source checkpoint: OpenMed/OpenMed-PII-Telugu-BigMed-Large-278M-v1

Quick Start

Python

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-PII-Telugu-BigMed-Large-278M-v1",
    config=OpenMedConfig(backend="mlx"),
)

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

You can use the source model ID directly through OpenMed, or download this private MLX packaging from OpenMed/OpenMed-PII-Telugu-BigMed-Large-278M-v1-mlx for a preconverted path.

Swift

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

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

After that, import OpenMedKit in Swift:

import OpenMedKit

Then load your bundled CoreML model and label map:

import Foundation
import OpenMedKit

let modelFolder = Bundle.main.resourceURL!
let modelURL = modelFolder.appendingPathComponent("OpenMedPII.mlmodelc")
let labelsURL = modelFolder.appendingPathComponent("id2label.json")

let openmed = try OpenMed(
    modelURL: modelURL,
    id2labelURL: labelsURL
)

This private MLX artifact remains the right choice for:

• Python services on Apple Silicon
• local MLX inference on macOS
• private preconverted packaging on the Hub

If a given architecture or environment cannot be exported cleanly as safetensors, OpenMed falls back to weights.npz so the model remains usable.

Credits

• Base checkpoint: OpenMed/OpenMed-PII-Telugu-BigMed-Large-278M-v1
• OpenMed GitHub: https://github.com/maziyarpanahi/openmed
• OpenMed website: https://openmed.life
• MLX packaging and runtime support: OpenMed
• Swift runtime for Apple apps: OpenMedKit from the OpenMed repository