Update README.md

README.md

@@ -4,13 +4,31 @@ Make sure you have the transformers library installed:
 
 ## Load a Model from the Hub: Use the from_pretrained method to load the model and its tokenizer.
 ```from transformers import AutoTokenizer, AutoModel
+from transformers import AutoTokenizer, AutoModelForSequenceClassification
+import torch
 
-# Specify the model name
-model_name = "model_name"
+# Replace 'your-username/your-model-name' with your actual model path
+model_name = "your-username/your-model-name"
 
 # Load the tokenizer and model
 tokenizer = AutoTokenizer.from_pretrained(model_name)
-model = AutoModel.from_pretrained(model_name)
+model = AutoModelForSequenceClassification.from_pretrained(model_name)
+
+# Tokenize the input text
+input_text = "Hello, how are you?"
+inputs = tokenizer(input_text, return_tensors="pt")
+
+# Run the model
+with torch.no_grad():
+    outputs = model(**inputs)
+
+# Process the outputs
+logits = outputs.logits
+predictions = torch.argmax(logits, dim=-1)
+
+print(f"Predicted class: {predictions.item()}")
+
+
 ```
 
 ## Then what to do