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