Add comprehensive model card with usage examples

README.md

@@ -90,9 +90,13 @@ base_model = AutoModelForCausalLM.from_pretrained(
 model = PeftModel.from_pretrained(base_model, adapter_id)
 
 # Prepare input
-text = "I feel hopeless and nothing seems to matter anymore. I can't find joy in anything."
-instruction = "Analyze this text for depression indicators. Respond 'depression' or 'non-depression':"
-prompt = f"{instruction}\n\n{text}\n\n"
+text = "I feel hopeless and nothing seems to matter anymore. I cant find joy in anything."
+instruction = "Analyze this text for depression indicators. Respond depression or non-depression:"
+prompt = f"{instruction}
+
+{text}
+
+"
 
 # Tokenize and generate
 inputs = tokenizer(prompt, return_tensors="pt", truncation=True, max_length=1024)
@@ -145,7 +149,7 @@ This model is designed for research and educational purposes in mental health te
 - Use responsibly and with appropriate human oversight
 - Consider privacy implications when analyzing personal text
 - Do not use for discriminatory purposes
-- Complement, don't replace, professional mental health services
+- Complement, dont replace, professional mental health services
 
 ## Citation