Update main.py
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main.py
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from pathlib import Path
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import os
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#
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from transformers import AutoTokenizer, AutoModelForCausalLM
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# Load model and tokenizer
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model_name = "mistralai/Codestral-22B-v0.1"
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model = AutoModelForCausalLM.from_pretrained(model_name)
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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# No need to move model to GPU, default is CPU
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# model.to("cpu") # This line can be omitted since it's already on CPU by default
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# Encode input tokens
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input_text = "Your input text here"
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tokens = tokenizer(input_text, return_tensors="pt").input_ids
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# Generate output
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generated_ids = model.generate(tokens, max_new_tokens=1000, do_sample=True)
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# Decode generated tokens
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result = tokenizer.decode(generated_ids[0].tolist(), skip_special_tokens=True)
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print(result)
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