Create README.md

README.md

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+from transformers import GPT2LMHeadModel, GPT2Tokenizer
+
+# Load the pre-trained WormGPT model and tokenizer
+model = GPT2LMHeadModel.from_pretrained("wormgpt")
+tokenizer = GPT2Tokenizer.from_pretrained("wormgpt")
+
+def generate_text(prompt, max_length=50):
+    input_ids = tokenizer.encode(prompt, return_tensors="pt")
+    output = model.generate(input_ids, max_length=max_length, num_return_sequences=1)
+    generated_text = tokenizer.decode(output[0], skip_special_tokens=True)
+    return generated_text