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README.md

@@ -65,19 +65,19 @@ from transformers import AutoModel
 model = AutoModel.from_pretrained("santoshdahal/setu", trust_remote_code=True)
 
 # Translate text
-result = model("mero ghar kathmandu ma cha")
+result = model("mero name ramesh  ho")
 print("Translation:", result)
-# Output: "my home in kathmandu"
+# Output: "My name is Ramesh."
 
 # Works with Devanagari script too
-result = model("mero name ram  poudel ho")
+result = model("सामाजिक मिडिया र ग्राउण्ड वास्तविकता फरक छ।")
 print("Translation:", result) 
-# Output: "my name is ram poudel"
+# Output: "Social media and reality are different."
 
 # Handles informal text
-result = model("where is your home?")
+result = model("what is your nam")
 print("Translation:", result)
-# Output: "where's your home?"
+# Output: "what's your name"
 
 ```
 

assets/decoder.onnx

@@ -1,3 +1,3 @@
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+oid sha256:933393ebf81a97cfcd51c0ca655b3e566d8a0ccfccf624cb6096a0eb1826bb93
 size 242959762

assets/encoder.onnx

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:2bf8f37df0f8f066023cc41b7c65d9e8a4dd82badeb3d0f3a7d6abe2e4587dfd
+oid sha256:aea444d021bf32cbbe4d26c91dcc8513bba037a8c89c286ad5b8c54d0313c672
 size 135159477

assets/spm.model

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:0d26da1faa7fa9c8b8b30f1ea44da83939be6656e7c077f63ab271d34abe877b
-size 948113
+oid sha256:e77740dfc37b24f064f031aafa824cba8ff354f52081317f0afd88088d192811
+size 1013520