mod gemma
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gemma.py
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gemma.py
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@ -38,7 +38,7 @@ dataset = create_training_data()
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# 5️⃣ Ładowanie modelu Gemma 2 7B
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device = "cuda" if torch.cuda.is_available() else "cpu"
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model_name = "google/gemma-2b"
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model_name = "google/gemma-2-2b"
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model = AutoModelForCausalLM.from_pretrained(model_name, torch_dtype=torch.float16).to(device)
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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