Update README.md

README.md

@@ -8,7 +8,7 @@ tags:
 
 ---
 
-# {MODEL_NAME}
+# indo-sbert-base
 
 This is a [sentence-transformers](https://www.SBERT.net) model: It maps sentences & paragraphs to a 768 dimensional dense vector space and can be used for tasks like clustering or semantic search.
 
@@ -26,9 +26,12 @@ Then you can use the model like this:
 
 ```python
 from sentence_transformers import SentenceTransformer
-sentences = ["This is an example sentence", "Each sentence is converted"]
+sentences = ["Ibukota Perancis adalah Paris", 
+            "Menara Eifel terletak di Paris, Perancis", 
+            "Pizza adalah makanan khas Italia", 
+            "Saya kuliah di Carneige Melon University"]
 
-model = SentenceTransformer('{MODEL_NAME}')
+model = SentenceTransformer('firqaaa/indo-sbert-finetuned-anli-id')
 embeddings = model.encode(sentences)
 print(embeddings)
 ```
@@ -51,11 +54,15 @@ def mean_pooling(model_output, attention_mask):
 
 
 # Sentences we want sentence embeddings for
-sentences = ['This is an example sentence', 'Each sentence is converted']
+sentences = ["Ibukota Perancis adalah Paris", 
+             "Menara Eifel terletak di Paris, Perancis", 
+             "Pizza adalah makanan khas Italia", 
+             "Saya kuliah di Carneige Melon University"]
+
 
 # Load model from HuggingFace Hub
-tokenizer = AutoTokenizer.from_pretrained('{MODEL_NAME}')
-model = AutoModel.from_pretrained('{MODEL_NAME}')
+tokenizer = AutoTokenizer.from_pretrained('firqaaa/indo-sbert-finetuned-anli-id')
+model = AutoModel.from_pretrained('firqaaa/indo-sbert-finetuned-anli-id')
 
 # Tokenize sentences
 encoded_input = tokenizer(sentences, padding=True, truncation=True, return_tensors='pt')
@@ -85,7 +92,7 @@ The model was trained with the parameters:
 
 **DataLoader**:
 
-`sentence_transformers.datasets.NoDuplicatesDataLoader.NoDuplicatesDataLoader` of length 19861 with parameters:
+`sentence_transformers.datasets.NoDuplicatesDataLoader.NoDuplicatesDataLoader` of length 19644 with parameters:
 ```
 {'batch_size': 16}
 ```
@@ -126,4 +133,4 @@ SentenceTransformer(
 
 ## Citing & Authors
 
-<!--- Describe where people can find more information -->
+<!--- Describe where people can find more information -->