Image Segmentation
MLX
Safetensors
English
native-mlx
apple-silicon
medical-imaging
x-ray
segmentation
noncommercial
research
Instructions to use MedMLX/flexray-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use MedMLX/flexray-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download MedMLX/flexray-mlx --local-dir flexray-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
File size: 1,843 Bytes
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license: cc-by-nc-4.0
library_name: mlx
tags:
- mlx
- native-mlx
- apple-silicon
- medical-imaging
- x-ray
- segmentation
- noncommercial
- research
language:
- en
inference: false
pipeline_tag: image-segmentation
base_model: VictorButoi/flexray
---
<img src="https://huggingface.co/MedMLX/flexray-mlx/resolve/main/banner.png" alt="MedMLX — Segment. RADIOGRAPHS / FLEXRAY" width="100%">
# FleXray · Radiographs
Segment anatomical structures in radiographs with the released FleXray flux0375 member.
[GitHub](https://github.com/MedMLX/flexray-mlx) · [Files](https://huggingface.co/MedMLX/flexray-mlx/tree/main) · [Docs](https://github.com/MedMLX/flexray-mlx/blob/main/README.md#quick-start)
| Input | Output |
| :--- | :--- |
| Radiograph | Anatomical segmentation |
**Apple Silicon · Metal · Python 3.13 / 3.14**
## Quick start
```bash
uv venv --python 3.13
source .venv/bin/activate
repo="https://github.com/MedMLX/flexray-mlx"
release="$repo/releases/download/v0.2.1"
uv pip install "$release/flexray_mlx-0.2.1-py3-none-any.whl"
uv tool install huggingface-hub
hf download MedMLX/flexray-mlx --local-dir models
```
Replace the example input paths with your own files.
```python
from flexray_mlx.medmlx import run
result = run(
image_path='chest.png',
weights_path='models',
output_dir='outputs',
label_name='lungs',
ensemble=False,
)
print(result["outputs"])
```
Includes the `flux0375` member. Keep `ensemble=False`.
## Use & license
For research and education. Not validated for clinical use.
Weights: [CC-BY-NC-4.0 · noncommercial](https://huggingface.co/MedMLX/flexray-mlx/blob/main/LICENSE). [Notices](https://huggingface.co/MedMLX/flexray-mlx/blob/main/NOTICE).
## Paper references
- [Original model: FleXray: Universal Clinical X-ray Segmentation](https://arxiv.org/abs/2609.26756).
|