Rename the model to add -seq-cls for clarity

README.md

@@ -86,7 +86,7 @@ def format_document(document):
     return f"<Document>: {document}{suffix}"
 
 
-model = CrossEncoder("tomaarsen/Qwen3-Reranker-0.6B")
+model = CrossEncoder("tomaarsen/Qwen3-Reranker-0.6B-seq-cls")
 
 task = "Given a web search query, retrieve relevant passages that answer the query"
 
@@ -131,10 +131,10 @@ def format_instruction(instruction, query, doc):
     return output
 
 
-tokenizer = AutoTokenizer.from_pretrained("tomaarsen/Qwen3-Reranker-0.6B", padding_side="left")
-model = AutoModelForSequenceClassification.from_pretrained("tomaarsen/Qwen3-Reranker-0.6B").eval()
+tokenizer = AutoTokenizer.from_pretrained("tomaarsen/Qwen3-Reranker-0.6B-seq-cls", padding_side="left")
+model = AutoModelForSequenceClassification.from_pretrained("tomaarsen/Qwen3-Reranker-0.6B-seq-cls").eval()
 # We recommend enabling flash_attention_2 for better acceleration and memory saving.
-# model = AutoModelForSequenceClassification.from_pretrained("tomaarsen/Qwen3-Reranker-0.6B", torch_dtype=torch.float16, attn_implementation="flash_attention_2").cuda().eval()
+# model = AutoModelForSequenceClassification.from_pretrained("tomaarsen/Qwen3-Reranker-0.6B-seq-cls", torch_dtype=torch.float16, attn_implementation="flash_attention_2").cuda().eval()
 max_length = 8192
 
 task = "Given a web search query, retrieve relevant passages that answer the query"