Update README.md

README.md

@@ -15,14 +15,23 @@ library_name: transformers
 - Intended use: content moderation research/demos; not for deployment without bias/fairness review.  
 - Limitations/risks: social bias, dataset age/domain mismatch; errors possible on slang/irony.  
 - How to use:
+## Usage
 from transformers import AutoModelForSequenceClassification, AutoTokenizer, pipeline
+
 mid = "Yash22CSU192/davidson-roberta-hatespeech"
+
+# Load tokenizer and model
 tok = AutoTokenizer.from_pretrained(mid)
 mdl = AutoModelForSequenceClassification.from_pretrained(mid)
+
+# Create a text-classification pipeline
 clf = pipeline("text-classification", model=mdl, tokenizer=tok, return_all_scores=True)
+
+# Test the classifier
 print(clf("Have a nice day."))
 
 
+
 ## Files
 - model.safetensors, config.json, tokenizer.json, tokenizer_config.json, vocab.json, merges.txt, special_tokens_map.json
 - training_args.bin (Trainer settings), metrics.json (evaluation summary)