Views
No views yet
1from transformers import AutoModelForCausalLM, AutoTokenizer
2
3model = AutoModelForCausalLM.from_pretrained("sidcraftscode/smollm2-1.7b-distilled-gpt-oss-20b")
4tokenizer = AutoTokenizer.from_pretrained("sidcraftscode/smollm2-1.7b-distilled-gpt-oss-20b")
5
6messages = [{"role": "user", "content": "Explain quantum computing"}]
7text = tokenizer.apply_chat_template(messages, tokenize=False, add_generation_prompt=True)
8inputs = tokenizer(text, return_tensors="pt")
9
10outputs = model.generate(**inputs, max_new_tokens=200, temperature=0.7)
11response = tokenizer.decode(outputs[0][inputs.input_ids.shape[1]:], skip_special_tokens=True)
12print(response)