Update README.md

README.md

@@ -32,24 +32,3 @@ Limitations
 Untrained: The model is untrained and will not perform well on any task until it has been fine-tuned.
 Ethical Considerations: Users should be mindful of the ethical implications of deploying fine-tuned models, especially in sensitive applications.
 
-
-
-from transformers import AutoModelForCausalLM, AutoTokenizer
-
-# Load the fine-tuned model and tokenizer
-model = AutoModelForCausalLM.from_pretrained("oktrained/llama3.1_180M_untrained")
-tokenizer = AutoTokenizer.from_pretrained("oktrained/llama3.1_180M_untrained")
-
-# Sample input text
-input_text = "Once upon a time"
-
-# Tokenize input
-inputs = tokenizer(input_text, return_tensors="pt")
-
-# Generate output
-output = model.generate(**inputs, max_length=50)
-
-# Decode output
-generated_text = tokenizer.decode(output[0], skip_special_tokens=True)
-
-print(generated_text)