Update README.md

README.md

@@ -1,27 +1,41 @@
 ---
-name: apple-fastvlm-vision-projector-512
-model_file: vision_projector_v1_standalone.onnx
 license: mit
 language:
 - en
-framework: onnx
 pipeline_tag: feature-extraction
 tags:
-- fastvlm 0.5B
-- apple's fast vlm
 - onnx
 - vision
 - image-encoder
 - multimodal
 - fastvlm
 - cpu
-description: >
-  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.
-usage: >
-  Use this model to convert images into embeddings for a compatible FastVLM
-  language backbone.
 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).