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{ - "output_type": "stream", - "name": "stdout", - "text": [ - "Requirement already satisfied: transformers in /usr/local/lib/python3.11/dist-packages (4.48.3)\n", - "Requirement already satisfied: filelock in /usr/local/lib/python3.11/dist-packages (from transformers) (3.17.0)\n", - "Requirement already satisfied: huggingface-hub<1.0,>=0.24.0 in /usr/local/lib/python3.11/dist-packages (from transformers) (0.28.1)\n", - "Requirement already satisfied: numpy>=1.17 in /usr/local/lib/python3.11/dist-packages (from transformers) (1.26.4)\n", - "Requirement already satisfied: packaging>=20.0 in /usr/local/lib/python3.11/dist-packages (from transformers) (24.2)\n", - "Requirement already satisfied: pyyaml>=5.1 in /usr/local/lib/python3.11/dist-packages (from transformers) (6.0.2)\n", - "Requirement already satisfied: regex!=2019.12.17 in /usr/local/lib/python3.11/dist-packages (from transformers) (2024.11.6)\n", - "Requirement already satisfied: requests in /usr/local/lib/python3.11/dist-packages (from transformers) (2.32.3)\n", - "Requirement already satisfied: tokenizers<0.22,>=0.21 in /usr/local/lib/python3.11/dist-packages (from transformers) (0.21.0)\n", - "Requirement already satisfied: safetensors>=0.4.1 in /usr/local/lib/python3.11/dist-packages (from transformers) (0.5.2)\n", - "Requirement already satisfied: tqdm>=4.27 in /usr/local/lib/python3.11/dist-packages (from transformers) (4.67.1)\n", - "Requirement already satisfied: fsspec>=2023.5.0 in /usr/local/lib/python3.11/dist-packages (from huggingface-hub<1.0,>=0.24.0->transformers) (2024.10.0)\n", - "Requirement already satisfied: typing-extensions>=3.7.4.3 in /usr/local/lib/python3.11/dist-packages (from huggingface-hub<1.0,>=0.24.0->transformers) (4.12.2)\n", - "Requirement already satisfied: charset-normalizer<4,>=2 in /usr/local/lib/python3.11/dist-packages (from requests->transformers) (3.4.1)\n", - "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.11/dist-packages (from requests->transformers) (3.10)\n", - "Requirement already satisfied: urllib3<3,>=1.21.1 in /usr/local/lib/python3.11/dist-packages (from requests->transformers) (2.3.0)\n", - "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.11/dist-packages (from requests->transformers) (2025.1.31)\n" - ] - } - ], - "source": [ - "# Install the necessary library\n", - "!pip install transformers" - ] - }, - { - "cell_type": "code", - "source": [ - "# Import required libraries\n", - "import torch\n", - "from transformers import pipeline\n", - "\n", - "# Check and use GPU if available\n", - "device = 0 if torch.cuda.is_available() else -1\n", - "print(f\"Using device: {'GPU' if torch.cuda.is_available() else 'CPU'}\")\n" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/" - }, - "id": "N64C8fKqzGr-", - "outputId": "78066cef-848c-4f8a-ed65-0e9f43d9e19f" - }, - "execution_count": 2, - "outputs": [ - { - "output_type": "stream", - "name": "stdout", - "text": [ - "Using device: GPU\n" - ] - } - ] - }, - { - "cell_type": "code", - "source": [ - "# Sentiment Analysis\n", - "sentiment_pipeline = pipeline(\"sentiment-analysis\", device=device)\n", - "sentiment_result = sentiment_pipeline(\"The weather today is absolutely wonderful, I feel so happy!\")\n", - "print(\"Sentiment Analysis:\", sentiment_result)" - ], - "metadata": { - "colab": { - "base_uri": "https://localhost:8080/", - "height": 339, - "referenced_widgets": [ - "9ab83e50129e4471a97a41bd26e0616b", - "dc532e11fcd04795aee7afa63db9121d", - "28ff7b482dd04ddcb935fb68159e05dc", - "f3b32051f7654d10b497c883d9bde9d5", - "763ef06a60fd4a3abbe58d6474d942bf", - "1da522199aa54279833ec1677418d1e1", - "3dbd4d66cb204fbca70e9d8a0cb9df42", - "531d0714c2bc4009a98d2aa00ed02945", - "63a04dbb0b6043949df23e20d9bb7be4", - "b79cadd6644b43809c2064df2c810478", - "f32c6dda403048bea3df2ef0d5d45182", - "8de02d65100c405da806a235d64ecc02", - "d3427d7f9cbc40939a5a845bf7de77bf", - "2532d0ee0e4443bf852c2ffd7a61645f", - "4709ea58ad474445a87866f02e3610c4", - "77a4224d3b4c41a0aa8f88db4c0db1d8", - "3518dac5943c4b78b23574dc39325ca5", - "f2dca5aed8904c91a9a528c20f672630", - "647b5c9cb5b4435bb85cdf6a09f17c18", - "1640873ab6244cf8bd3c07da4db105b2", - "0ec81087aaf24c448d539bcea409b318", - "0e52289fb592497b948f5faf50e9b9f4", - "fc4de1356965450999b5f588147d87a8", - "82baf74dbeb043d08563b516b0ba434e", - "5308a77fc1f740f180500a1300a4dee9", - "d405b05d5b484cd586113e3ea7af30d9", - "a0a16a76382d4c908b2605bd2a46e346", - "cb4083d352724779a6e4a0f1b090b2af", - "1a200590c0674aae88fbbab9f3932870", - "e7381437f256474d87dfb9751fe89092", - "b86d48a26da3421e9a71661db339d34f", - "a6e42a29559c41f4a70c870037fd3efa", - "ab3ee8006b54480f9f3b54376df2ef67", - "796bea3337ae4572a6b2cc8a36bde5c6", - "96548351504440b78c3bb5b4ebfcde01", - "b9692c08c4854c678453ceb8dcf806bc", - "7347a91f464e4aaa845f1207356a376f", - "09034aed01b34c70b88c0dd2481a9383", - "47df3b30e9e44e8488a1a0972b835c2f", - "eae85be5c8ad466cbe76ddacdfc0bf3e", - "072c28d68ad442fea3eaff2beefc06f7", - "fd8fdb54beb74cf594183d8d871ebe39", - "151f999e43c745a5847ad4bd4c3aaed2", - "000e8486c4e545858d0cd6a6bbe11fb9" - ] - }, - "id": "IVjZ-fuJzEN5", - "outputId": "2f04da8e-ce00-4cbf-8277-0d520bb870ab" - }, - "execution_count": 3, - "outputs": [ - { - "output_type": "stream", - "name": "stderr", - "text": [ - "No model was supplied, defaulted to distilbert/distilbert-base-uncased-finetuned-sst-2-english and revision 714eb0f (https://huggingface.co/distilbert/distilbert-base-uncased-finetuned-sst-2-english).\n", - "Using a pipeline without specifying a model name and revision in production is not recommended.\n", - "/usr/local/lib/python3.11/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", - "You will be able to reuse this secret in all of your notebooks.\n", - "Please note that authentication is recommended but still optional to access public models or datasets.\n", - " warnings.warn(\n" - ] - }, - { - "output_type": "display_data", - "data": { - "text/plain": [ - "config.json: 0%| | 0.00/629 [00:00