Name of model fixed in examples

README.md

@@ -1,11 +1,11 @@
 ---
 pipeline_tag: feature-extraction
 tags:
-- pytorch
-- sentence-transformers
-- feature-extraction
-- sentence-similarity
-- transformers
+  - pytorch
+  - sentence-transformers
+  - feature-extraction
+  - sentence-similarity
+  - transformers
 language:
   - ru
   - en
@@ -61,7 +61,7 @@ sentences = [
     "Machine learning helps to create intelligent systems.",
 ]
 
-model = SentenceTransformer('evilfreelancer/enbeddrus')
+model = SentenceTransformer('evilfreelancer/enbeddrus-v0.1-domain')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```
@@ -97,8 +97,8 @@ sentences = [
 ]
 
 # Load model from HuggingFace Hub
-tokenizer = AutoTokenizer.from_pretrained('evilfreelancer/enbeddrus')
-model = AutoModel.from_pretrained('evilfreelancer/enbeddrus')
+tokenizer = AutoTokenizer.from_pretrained('evilfreelancer/enbeddrus-v0.1-domain')
+model = AutoModel.from_pretrained('evilfreelancer/enbeddrus-v0.1-domain')
 
 # Tokenize sentences
 encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')