Gen_AI.ipynb

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            "/usr/local/lib/python3.10/dist-packages/huggingface_hub/utils/_auth.py:94: UserWarning: \n",
            "The secret `HF_TOKEN` does not exist in your Colab secrets.\n",
            "To authenticate with the Hugging Face Hub, create a token in your settings tab (https://huggingface.co/settings/tokens), set it as secret in your Google Colab and restart your session.\n",
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              "version_major": 2,
              "version_minor": 0,
              "model_id": "8bc66e2bc51c482fae8ed74e9f843ed8"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "generation_config.json:   0%|          | 0.00/124 [00:00<?, ?B/s]"
            ],
            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "4e495f172b3241cdb1474d6df1748ea0"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "tensor([[  52,   67, 4355,  318,  262, 1266, 1295,  284, 2193,  546, 1152,  876]])"
            ]
          },
          "metadata": {},
          "execution_count": 1
        }
      ],
      "source": [
        "from transformers import AutoModelForCausalLM, AutoTokenizer\n",
        "\n",
        "# To load a pretrained model and a tokenizer using HuggingFace, we only need two lines of code!\n",
        "tokenizer = AutoTokenizer.from_pretrained(\"gpt2\")\n",
        "model = AutoModelForCausalLM.from_pretrained(\"gpt2\")\n",
        "\n",
        "# We create a partial sentence and tokenize it.\n",
        "text = \"Udacity is the best place to learn about generative\"\n",
        "inputs = tokenizer(text, return_tensors=\"pt\")\n",
        "\n",
        "# Show the tokens as numbers, i.e. \"input_ids\"\n",
        "inputs[\"input_ids\"]"
      ]
    }
  ]
}