Update README.md

README.md

@@ -64,7 +64,7 @@ Below are **drop-in** examples for the converted model. These mirror the origina
 ```python
 from sentence_transformers import CrossEncoder
 
-MODEL_ID = "your-username/ctxl-rerank-v2-1b-seq-cls"  # or local folder
+MODEL_ID = "sigridjineth/ctxl-rerank-v2-1b-seq-cls"  # or local folder
 
 def format_prompts(query: str, instruction: str, docs: list[str]) -> list[str]:
     inst = f" {instruction}" if instruction else ""
@@ -99,7 +99,7 @@ for s, d in ranked:
 import torch
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
 
-MODEL_ID = "your-username/ctxl-rerank-v2-1b-seq-cls"  # or local folder
+MODEL_ID = "sigridjineth/ctxl-rerank-v2-1b-seq-cls"  # or local folder
 device = "cuda" if torch.cuda.is_available() else "cpu"
 dtype = torch.bfloat16 if torch.cuda.is_available() else torch.float32