1.2 update in doc

Author: bclavie

README.md

@@ -60,7 +60,7 @@ Loading a model with `byaldi` is extremely straightforward:
 ```python3
 from byaldi import RAGMultiModalModel
 # Optionally, you can specify an `index_root`, which is where it'll save the index. It defaults to ".byaldi/".
-RAG = RAGMultiModalModel.from_pretrained("vidore/colpali")
+RAG = RAGMultiModalModel.from_pretrained("vidore/colpali-v1.2")
 ```
 
 If you've already got an index, and wish to load it along with the model necessary to query it, you can do so just as easily:
@@ -77,7 +77,7 @@ Creating an index with `byaldi` is simple and flexible. **You can index a single
 ```python3
 from byaldi import RAGMultiModalModel
 # Optionally, you can specify an `index_root`, which is where it'll save the index. It defaults to ".byaldi/".
-RAG = RAGMultiModalModel.from_pretrained("vidore/colpali")
+RAG = RAGMultiModalModel.from_pretrained("vidore/colpali-v1.2")
 RAG.index(
     input_path="docs/", # The path to your documents
     index_name=index_name, # The name you want to give to your index. It'll be saved at `index_root/index_name/`.

byaldi/RAGModel.py

@@ -26,7 +26,7 @@ class RAGMultiModalModel:
     ```python
     from byaldi import RAGMultiModalModel
 
-    RAG = RAGMultiModalModel.from_pretrained("vidore/colpali")
+    RAG = RAGMultiModalModel.from_pretrained("vidore/colpali-v1.2")
     ```
 
     Both methods will load a fully initialised instance of ColPali, which you can use to build and query indexes.