Update README.md

README.md

@@ -35,7 +35,29 @@ The model was trained on [agentlans/tatoeba-english-translations](https://huggin
 
 ## Usage
 
-- Preprocess text to remove special characters, convert all letters to lowercase
+```python
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+import torch
+
+model_name="agentlans/mdeberta-v3-base-sentiment"
+
+# Put model on GPU or else CPU
+tokenizer = AutoTokenizer.from_pretrained(model_name)
+model = AutoModelForSequenceClassification.from_pretrained(model_name)
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+model = model.to(device)
+
+def sentiment(text):
+    """Processes the text using the model and returns its logits.
+    In this case, it's interpreted as the sentiment score for that text."""
+    inputs = tokenizer(text, return_tensors="pt", truncation=True, padding=True).to(device)
+    with torch.no_grad():
+        logits = model(**inputs).logits.squeeze().cpu()
+    return logits.tolist()
+
+# Note: Recommend to preprocess text to remove special characters, e-mails, and hash tags
+sentiment("Your text here.")
+```
 
 ## Results