feat: format the readme in black

README.md

@@ -146,16 +146,12 @@ pip install -U colbert-ai
 from ragatouille import RAGPretrainedModel
 
 RAG = RAGPretrainedModel.from_pretrained("jinaai/jina-colbert-v2")
-
 docs = [
-        "ColBERT is a novel ranking model that adapts deep LMs for efficient retrieval.",
-        "Jina-ColBERT is a ColBERT-style model but based on JinaBERT so it can support both 8k context length, fast and accurate retrieval."
-    ]
-
+    "ColBERT is a novel ranking model that adapts deep LMs for efficient retrieval.",
+    "Jina-ColBERT is a ColBERT-style model but based on JinaBERT so it can support both 8k context length, fast and accurate retrieval.",
+]
 RAG.index(docs, index_name="demo")
-
-query = 'What does ColBERT do?'
-
+query = "What does ColBERT do?"
 results = RAG.search(query)
 ```
 
@@ -167,11 +163,10 @@ from colbert.modeling.checkpoint import Checkpoint
 
 ckpt = Checkpoint("jinaai/jina-colbert-v2", colbert_config=ColBERTConfig())
 docs = [
-        "ColBERT is a novel ranking model that adapts deep LMs for efficient retrieval.",
-        "Jina-ColBERT is a ColBERT-style model but based on JinaBERT so it can support both 8k context length, fast and accurate retrieval."
-    ]
-query_vectors = ckpt.queryFromText( docs, bsize=2)
-print(query_vectors)
+    "ColBERT is a novel ranking model that adapts deep LMs for efficient retrieval.",
+    "Jina-ColBERT is a ColBERT-style model but based on JinaBERT so it can support both 8k context length, fast and accurate retrieval.",
+]
+query_vectors = ckpt.queryFromText(docs, bsize=2)
 ```
 
 ## Evaluation Results