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apple-fastvlm-vision-projector-512
musk12/apple-fastvlm-vision-projector-512
apple-fastvlm-vision-projector-512 is a image feature extraction model from musk12. Use it for the image feature extraction task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
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.
Access
Public
Updated Jul 2, 2026
Repo size
508 MB
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Repo makeup
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.onnx508 MB · 100%
At a glance
- Task
- Image Feature Extraction
- License
- mit
- Access
- Public
- Created
- Jun 28, 2026
- Updated
- Jul 2, 2026
- SHA
- 83131679
Base models
Model card
From the Hugging Face model README
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.
- Task
- Image Feature Extraction
- License
- mit
- Languages
- en
- Created
- Jun 28, 2026
- Updated
- Jul 2, 2026