Update README.md

README.md

@@ -8,7 +8,7 @@ tags:
 
 ---
 
-# {acgvoc2vec}
+# ACGVoc2vec
 
 结构为[sentence-transformers](https://github.com/UKPLab/sentence-transformers)，使用其**distiluse-base-multilingual-cased-v2**预训练权重，以5e-5的学习率在动漫相关语句对数据集下进行微调，损失函数为MultipleNegativesRankingLoss。
 
@@ -60,7 +60,7 @@ Then you can use the model like this:
 from sentence_transformers import SentenceTransformer
 sentences = ["This is an example sentence", "Each sentence is converted"]
 
-model = SentenceTransformer('{MODEL_NAME}')
+model = SentenceTransformer('OysterQAQ/ACGVoc2vec')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```