Update README.md

README.md

@@ -1196,7 +1196,7 @@ pip install -U sentence-transformers
 ```python
 from sentence_transformers import SentenceTransformer
 
-model = SentenceTransformer('FajnyKarton/st-polish-kartonberta-base-alpha-v1')
+model = SentenceTransformer('OrlikB/st-polish-kartonberta-base-alpha-v1')
 
 text_1 = 'Jestem wielkim fanem opakowań tekturowych'
 text_2 = 'Bardzo podobają mi się kartony'
@@ -1227,8 +1227,8 @@ def encode_text(text):
 cosine_similarity = lambda a, b: np.dot(a, b) / (np.linalg.norm(a) * np.linalg.norm(b))
 
 
-tokenizer = AutoTokenizer.from_pretrained('FajnyKarton/st-polish-kartonberta-base-alpha-v1')
-model = AutoModel.from_pretrained('FajnyKarton/st-polish-kartonberta-base-alpha-v1')
+tokenizer = AutoTokenizer.from_pretrained('OrlikB/st-polish-kartonberta-base-alpha-v1')
+model = AutoModel.from_pretrained('OrlikB/st-polish-kartonberta-base-alpha-v1')
 model.eval()
 
 text_1 = 'Jestem wielkim fanem opakowań tekturowych'