Update README.md

## Sample usage
from sentence_transformers import SentenceTransformer
model = SentenceTransformer("acayir64/turkish-embedding-model")

sentences = [
"Ali ata bak.",
"Ata bak kim gelmiş!",
"Ata bak Ali!",
]

embeddings = model.encode(sentences)
print(embeddings.shape)
[3, 384]

similarities = model.similarity(embeddings, embeddings)
print(similarities)

README.md

@@ -1,12 +1,12 @@
-
 ---
 tags:
 - autotrain
 - sentence-transformers
 widget:
-- text: "I love AutoTrain"
+- text: I love AutoTrain
 datasets:
 - ucsahin/TR-Extractive-QA-5K
+license: apache-2.0
 ---
 
 # Model Trained Using AutoTrain
@@ -14,4 +14,4 @@ datasets:
 - Problem type: Sentence Transformers
 
 ## Validation Metrics
-No validation metrics available
+No validation metrics available