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python
from transformers import AutoModelForCausalLM, AutoTokenizer model = AutoModelForCausalLM.from_pretrained( "TinyModels/Atom-350M", torch_dtype="auto", device_map="auto",)tokenizer = AutoTokenizer.from_pretrained("TinyModels/Atom-350M") messages = [ {"role": "user", "content": "Explain how a bicycle stays upright in simple terms."}]prompt = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)inputs = tokenizer(prompt, return_tensors="pt").to(model.device) outputs = model.generate(**inputs, max_new_tokens=150, temperature=0.7)response = tokenizer.decode(outputs[0][inputs.input_ids.shape[1]:], skip_special_tokens=True)print(response)