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.
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.
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Base model
apple/FastVLM-0.5B