Update README.md

README.md

@@ -1,7 +1,7 @@
 ---
-base_model: vidore/colpaligemma-3b-mix-448-base
 license: mit
 library_name: colpali
+base_model: vidore/colpaligemma-3b-mix-448-base
 language:
 - en
 tags:
@@ -14,6 +14,8 @@ It is a [PaliGemma-3B](https://huggingface.co/google/paligemma-3b-mix-448) exten
 It was introduced in the paper [ColPali: Efficient Document Retrieval with Vision Language Models](https://arxiv.org/abs/2407.01449) and first released in [this repository](https://github.com/ManuelFay/colpali)
 
 This version has right padding to fix unwanted tokens in the query encoding + hard negative mining.
+It also stems from the fixed `vidore/colpaligemma-3b-mix-448-base` to guarantee deterministic projection layer initialization.
+
 
 ## Model Description
 
@@ -59,8 +61,8 @@ def main() -> None:
     """Example script to run inference with ColPali"""
 
     # Load model
-    model_name = "vidore/colpali"
-    model = ColPali.from_pretrained("google/paligemma-3b-mix-448", torch_dtype=torch.bfloat16, device_map="cuda").eval()
+    model_name = "manu/colpali-hard-v1.1"
+    model = ColPali.from_pretrained("vidore/colpaligemma-3b-mix-448-base", torch_dtype=torch.bfloat16, device_map="cuda").eval()
     model.load_adapter(model_name)
     processor = AutoProcessor.from_pretrained(model_name)