---
license: mit
language:
- en
pipeline_tag: image-feature-extraction
tags:
- onnx
- vision
- image-encoder
- multimodal
- fastvlm
- cpu
base_model:
- apple/FastVLM-0.5B
---

# Apple FastVLM Vision Projector (512)

A standalone ONNX vision projector extracted from the FastVLM pipeline.
Converts image features into the FastVLM multimodal embedding space and is
designed for CPU-based image-to-text and vision+language inference.

## Model file

- `vision_projector_v1_standalone.onnx`

## Usage

Use this model to convert images into embeddings for a compatible FastVLM
language backbone.

```python
import onnxruntime as ort

session = ort.InferenceSession("vision_projector_v1_standalone.onnx")
# feed in your preprocessed image tensor and run inference
```

## Base model

Derived from [apple/FastVLM-0.5B](https://huggingface.co/apple/FastVLM-0.5B).