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null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "\u001b[2K \u001b[90m━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━\u001b[0m \u001b[32m3.8/3.8 MB\u001b[0m \u001b[31m9.7 MB/s\u001b[0m eta \u001b[36m0:00:00\u001b[0m\n", "\u001b[?25h" ] } ] }, { "cell_type": "code", "source": [ "! pip install sentencepiece" ], "metadata": { "id": "dVGaR-WBKeO9", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "ccf85946-3b80-4282-f6f9-6ef77cf728cc" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Requirement already satisfied: sentencepiece in /usr/local/lib/python3.10/dist-packages (0.1.99)\n" ] } ] }, { "cell_type": "code", "source": [ "!pip freeze | grep transformers" ], "metadata": { "id": "Hc_447WIKeGE", "colab": { "base_uri": "https://localhost:8080/" }, "outputId": "3194847b-5bfd-4d06-b3ac-dd3f8a11a079" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "transformers==4.37.0\n" ] } ] }, { "cell_type": "code", "source": [ "!pip install transformers==4.20.1" ], "metadata": { "colab": { "base_uri": "https://localhost:8080/" }, "id": "EqSzvZTjXx80", "outputId": "47862d92-129a-4cb7-d11a-8e119027a4f3" }, "execution_count": null, "outputs": [ { "output_type": "stream", "name": "stdout", "text": [ "Collecting transformers==4.20.1\n", " Using cached transformers-4.20.1-py3-none-any.whl (4.4 MB)\n", "Requirement already satisfied: filelock in /usr/local/lib/python3.10/dist-packages (from transformers==4.20.1) (3.13.1)\n", "Requirement already satisfied: huggingface-hub<1.0,>=0.1.0 in /usr/local/lib/python3.10/dist-packages (from transformers==4.20.1) (0.20.2)\n", "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.20.1) (1.23.5)\n", "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.10/dist-packages (from transformers==4.20.1) (23.2)\n", "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.10/dist-packages (from transformers==4.20.1) (6.0.1)\n", "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.10/dist-packages (from transformers==4.20.1) (2023.6.3)\n", "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from transformers==4.20.1) (2.31.0)\n", "Collecting tokenizers!=0.11.3,<0.13,>=0.11.1 (from transformers==4.20.1)\n", " Using cached tokenizers-0.12.1-cp310-cp310-manylinux_2_12_x86_64.manylinux2010_x86_64.whl (6.6 MB)\n", "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.10/dist-packages (from transformers==4.20.1) (4.66.1)\n", "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.1.0->transformers==4.20.1) (2023.6.0)\n", "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.10/dist-packages (from huggingface-hub<1.0,>=0.1.0->transformers==4.20.1) (4.5.0)\n", "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.20.1) (3.3.2)\n", "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.20.1) (3.6)\n", "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.20.1) (2.0.7)\n", "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->transformers==4.20.1) (2023.11.17)\n", "Installing collected packages: tokenizers, transformers\n", " Attempting uninstall: tokenizers\n", " Found existing installation: tokenizers 0.15.0\n", " Uninstalling tokenizers-0.15.0:\n", " Successfully uninstalled tokenizers-0.15.0\n", " Attempting uninstall: transformers\n", " Found existing installation: transformers 4.37.0\n", " Uninstalling transformers-4.37.0:\n", " Successfully uninstalled transformers-4.37.0\n", "Successfully installed tokenizers-0.12.1 transformers-4.20.1\n" ] } ] }, { "cell_type": "code", "source": [ "# using fast tokenizer\n", "from transformers import MBartForConditionalGeneration, MBart50TokenizerFast" ], "metadata": { "id": "luD6s_26KeAx" }, "execution_count": null, "outputs": [] }, { "cell_type": "code", "source": [ "model = MBartForConditionalGeneration.from_pretrained(\"facebook/mbart-large-50-one-to-many-mmt\")" ], "metadata": { "id": "CuoAVsMuKd4S", "colab": { "base_uri": "https://localhost:8080/", "height": 81, "referenced_widgets": [ "b67687bdf77d4935af1e508cfbe75063", "9f9fd1071d3f43a3b8253b8edf3f1c26", "6d7243b594e44e188f67ff8e99e72a30", "07623284bd984b53a631a55fad7debcc", "378662cf8eb14840bd6e108b2ef496fd", "1559383c08ed437faa876e607a19d323", "b71948b732b94069a54d8cc2aae65a3e", "77799e0ec7f34f998710a4af5eb79523", "90d728243e1d4e559bd12ff62d8e4b5d", "6b3896f44ca048b8b965c7bd482b4c6e", "02a0ccdc9e96456685a46971ff51f3f8", 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