Update README.md

README.md

@@ -49,7 +49,7 @@ Get relevance scores (higher scores indicate more relevance):
 ```python
 from FlagEmbedding import FlagReranker
 
-reranker = FlagReranker('namdp/ViRanker',
+reranker = FlagReranker('namdp-ptit/ViRanker',
                         use_fp16=True)  # Setting use_fp16 to True speeds up computation with a slight performance degradation
 
 score = reranker.compute_score(['tỉnh nào có diện tích lớn nhất việt nam', 'nghệ an có diện tích lớn nhất việt nam'])
@@ -91,8 +91,8 @@ Get relevance scores (higher scores indicate more relevance):
 import torch
 from transformers import AutoModelForSequenceClassification, AutoTokenizer
 
-tokenizer = AutoTokenizer.from_pretrained('namdp/ViRanker')
-model = AutoModelForSequenceClassification.from_pretrained('namdp/ViRanker')
+tokenizer = AutoTokenizer.from_pretrained('namdp-ptit/ViRanker')
+model = AutoModelForSequenceClassification.from_pretrained('namdp-ptit/ViRanker')
 model.eval()
 
 pairs = [
@@ -125,7 +125,7 @@ the [MS MMarco Passage Reranking - Vi - Dev](https://huggingface.co/datasets/uni
 
 | Model-Name                                                                                                                              | NDCG@3     | MRR@3      | NDCG@5     | MRR@5      | NDCG@10    | MRR@10     | Docs / Sec |
 |-----------------------------------------------------------------------------------------------------------------------------------------|:-----------|:-----------|:-----------|:-----------|:-----------|:-----------|:-----------|
-| [namdp/ViRanker](https://huggingface.co/namdp/ViRanker)                                                                                 | **0.6685** | **0.6564** | 0.6842     | **0.6811** | 0.7278     | **0.6985** | 2.02       
+| [namdp-ptit/ViRanker](https://huggingface.co/namdp-ptit/ViRanker)                                                                       | **0.6685** | **0.6564** | 0.6842     | **0.6811** | 0.7278     | **0.6985** | 2.02       
 | [itdainb/PhoRanker](https://huggingface.co/itdainb/PhoRanker)                                                                           | 0.6625     | 0.6458     | **0.7147** | 0.6731     | **0.7422** | 0.6830     | **15**     
 | [kien-vu-uet/finetuned-phobert-passage-rerank-best-eval](https://huggingface.co/kien-vu-uet/finetuned-phobert-passage-rerank-best-eval) | 0.0963     | 0.0883     | 0.1396     | 0.1131     | 0.1681     | 0.1246     | **15**     
 | [BAAI/bge-reranker-v2-m3](https://huggingface.co/BAAI/bge-reranker-v2-m3)                                                               | 0.6087     | 0.5841     | 0.6513     | 0.6062     | 0.6872     | 0.62091    | 3.51