| import torch | |
| from transformers import AutoTokenizer, AutoModelForCausalLM, GenerationConfig | |
| model_name = "deepseek-ai/deepseek-math-7b-base" | |
| tokenizer = AutoTokenizer.from_pretrained(model_name) | |
| model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.bfloat16, device_map="auto") | |
| model.generation_config = GenerationConfig.from_pretrained(model_name) | |
| model.generation_config.pad_token_id = model.generation_config.eos_token_id | |
| text = "The integral of x^2 from 0 to 2 is" | |
| inputs = tokenizer(text, return_tensors="pt") | |
| outputs = model.generate(**inputs.to(model.device), max_new_tokens=100) | |
| result = tokenizer.decode(outputs[0], skip_special_tokens=True) | |
| print(result) | |