1from transformers import AutoModelForCausalLM, AutoTokenizer
2checkpoint = "mohamedrasheqA/SmolR"
3
4device = "cuda" # for GPU usage or "cpu" for CPU usage
5tokenizer = AutoTokenizer.from_pretrained(checkpoint)
6# for multiple GPUs install accelerate and do `model = AutoModelForCausalLM.from_pretrained(checkpoint, device_map="auto")`
7model = AutoModelForCausalLM.from_pretrained(checkpoint).to(device)
8
9messages = [{"role": "user", "content": "What is gravity?"}]
10input_text=tokenizer.apply_chat_template(messages, tokenize=False)
11print(input_text)
12inputs = tokenizer.encode(input_text, return_tensors="pt").to(device)
13outputs = model.generate(inputs, max_new_tokens=50, temperature=0.2, top_p=0.9, do_sample=True)
14print(tokenizer.decode(outputs[0]))
