Update README.md

README.md

@@ -49,6 +49,8 @@ from transformers import pipeline
 
 pipe = pipeline("text-classification", model="pascalrai/hinglish-twitter-roberta-base-sentiment")
 pipe("tu mujhe pasandh heh")
+
+[{'label': 'positive', 'score': 0.7615439891815186}]
 ```
 ## Model Inference
 ```
@@ -66,4 +68,14 @@ p = torch.nn.Softmax(dim = 1)(outputs.logits)
 for index, each in enumerate(p.detach().numpy()):
     print(f"Text: {inputs[index]}")
     print(f"Negative: {round(float(each[0]),2)}\nNeutral: {round(float(each[1]),2)}\nPositive: {round(float(each[2]),2)}\n")
+
+Text: tum kon ho bhai
+Negative: 0.02
+Neutral: 0.91
+Positive: 0.07
+
+Text: tu mujhe pasandh heh
+Negative: 0.01
+Neutral: 0.22
+Positive: 0.76
 ```