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              "Loading weights:   0%|          | 0/212 [00:00<?, ?it/s]"
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            "application/vnd.jupyter.widget-view+json": {
              "version_major": 2,
              "version_minor": 0,
              "model_id": "432923a394fa48fba25053cf0cec4474"
            }
          },
          "metadata": {}
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Wav2Vec2ForCTC LOAD REPORT from: facebook/wav2vec2-base-960h\n",
            "Key                        | Status  | \n",
            "---------------------------+---------+-\n",
            "wav2vec2.masked_spec_embed | MISSING | \n",
            "\n",
            "Notes:\n",
            "- MISSING\t:those params were newly initialized because missing from the checkpoint. Consider training on your downstream task.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sample = dataset[0]\n",
        "\n",
        "audio_input = sample[\"audio\"][\"array\"]"
      ],
      "metadata": {
        "id": "NgBS-jeVM0Ax"
      },
      "execution_count": 13,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "inputs = processor(\n",
        "    audio_input,\n",
        "    sampling_rate=16000,\n",
        "    return_tensors=\"pt\"\n",
        ")"
      ],
      "metadata": {
        "id": "G10MlJiiM0Hm"
      },
      "execution_count": 14,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "with torch.no_grad():\n",
        "    logits = model(**inputs).logits"
      ],
      "metadata": {
        "id": "EwAr2kdgM0J-"
      },
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "predicted_ids = torch.argmax(logits, dim=-1)\n",
        "\n",
        "transcription = processor.batch_decode(predicted_ids)\n",
        "\n",
        "print(\"Predicted Text:\", transcription[0])\n",
        "print(\"Actual Text:\", sample[\"text\"])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hplY4SRwM0MR",
        "outputId": "aed1b94e-2210-49a1-9895-378f65c2ef1e"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Predicted Text: MISTER QUILTER IS THE APOSTLE OF THE MIDDLE CLASSES AND WE ARE GLAD TO WELCOME HIS GOSPEL\n",
            "Actual Text: MISTER QUILTER IS THE APOSTLE OF THE MIDDLE CLASSES AND WE ARE GLAD TO WELCOME HIS GOSPEL\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "qYxUpf54BBM6"
      },
      "execution_count": 16,
      "outputs": []
    }
  ]
}