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README.md

@@ -120,7 +120,7 @@ hard one (risking a bad answer) — the direction you want a router to err in.
 from transformers import AutoTokenizer, AutoModelForSequenceClassification
 import torch
 
-repo_id = "appriai/gen-router-tier-classifier"
+repo_id = "appriai/gen-router-t1"
 tokenizer = AutoTokenizer.from_pretrained(repo_id)
 model = AutoModelForSequenceClassification.from_pretrained(repo_id)
 
@@ -138,7 +138,7 @@ import onnxruntime as ort
 from transformers import AutoTokenizer
 from huggingface_hub import hf_hub_download
 
-repo_id = "appriai/gen-router-tier-classifier"
+repo_id = "appriai/gen-router-t1"
 tokenizer = AutoTokenizer.from_pretrained(repo_id)
 onnx_path = hf_hub_download(repo_id, "onnx/model.onnx")
 session = ort.InferenceSession(onnx_path, providers=["CUDAExecutionProvider", "CPUExecutionProvider"])