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1from transformers import AutoModelForCausalLM, AutoTokenizer
2
3model = AutoModelForCausalLM.from_pretrained("YOUR_USERNAME/HBSAI-20MB-Uncensored")
4tokenizer = AutoTokenizer.from_pretrained("gpt2")
5
6prompt = "def calculate_hbs_efficiency(input_data):"
7inputs = tokenizer(prompt, return_tensors="pt")
8outputs = model.generate(**inputs, max_new_tokens=50)
9
10print(tokenizer.decode(outputs[0]))