Update README.md

README.md

@@ -3,6 +3,16 @@ license: apple-amlr
 license_name: apple-sample-code-license
 license_link: LICENSE
 ---
+
+# DFN5B-CLIP-ViT-H-14 with preprocessor configuration
+I matched the preprocessor configuration to the original OpenCLIP implementation. 
+
+In this implementation, there is no center crop. I did some test present in the Marimo notebook [`test_preprocessor_config.py`](./test_preprocessor_config.py) to verify that this preprocessor configuration gives the same results as the original OpenCLIP implementation.
+
+---
+
+# Original README
+
 A CLIP (Contrastive Language-Image Pre-training) model trained on DFN-5B. 
 Data Filtering Networks (DFNs) are small networks used to automatically filter large pools of uncurated data. 
 This model was trained on 5B images that were filtered from a pool of 43B uncurated image-text pairs