Update README.md

README.md

@@ -19,15 +19,20 @@ This model is a fine-tuned version of [bert-base-multilingual-uncased](https://h
 ### In Transformers
 ```python
 
-from transformers import AutoTokenizer
+from transformers import pipeline,AutoTokenizer
 
-checkpoint = "distilbert-base-uncased-finetuned-sst-2-english"
-tokenizer = AutoTokenizer.from_pretrained(checkpoint)
+model_name = "distilbert-base-uncased-finetuned-sst-2-english"
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+
+text = "I feel happy today!"
+
+inputs = tokenizer(text,return_tensors="pt",padding=True, truncation=True,)
+
+{
+  'input_ids': tensor([[ 101, 1045, 2514, 3407, 2651,  999,  102]]),
+   'attention_mask': tensor([[1, 1, 1, 1, 1, 1, 1]])
+}
 
-raw_inputs = [
-    "I feel happy today!",
-]
-inputs = tokenizer(raw_inputs, padding=True, truncation=True, return_tensors="pt")
 
 
 ```