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uninstalled huggingface-hub-0.24.7\n", + "Successfully installed aiofiles-23.2.1 datasets-3.0.2 dill-0.3.8 fastapi-0.115.3 ffmpy-0.4.0 gradio-5.3.0 gradio-client-1.4.2 h11-0.14.0 httpcore-1.0.6 httpx-0.27.2 huggingface-hub-0.26.1 markupsafe-2.1.5 multiprocess-0.70.16 orjson-3.10.10 pydub-0.25.1 python-multipart-0.0.12 ruff-0.7.0 semantic-version-2.10.0 starlette-0.41.0 tomlkit-0.12.0 uvicorn-0.32.0 websockets-12.0 xxhash-3.5.0\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "!pip3 install torch==1.9.1+cu111 torchvision==0.10.1+cu111 torchaudio===0.9.1 -f https://download.pytorch.org/whl/torch_stable.html" + ], + "metadata": { + "id": "x5h0wugdaUEt", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "cba8efff-7126-41bc-b7db-50270fbea9a5", + "collapsed": true + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "Looking in links: https://download.pytorch.org/whl/torch_stable.html\n", + "\u001b[31mERROR: Could not find a version that satisfies the requirement torch==1.9.1+cu111 (from versions: 1.11.0, 1.11.0+cpu, 1.11.0+cu102, 1.11.0+cu113, 1.11.0+cu115, 1.11.0+rocm4.3.1, 1.11.0+rocm4.5.2, 1.12.0, 1.12.0+cpu, 1.12.0+cu102, 1.12.0+cu113, 1.12.0+cu116, 1.12.0+rocm5.0, 1.12.0+rocm5.1.1, 1.12.1, 1.12.1+cpu, 1.12.1+cu102, 1.12.1+cu113, 1.12.1+cu116, 1.12.1+rocm5.0, 1.12.1+rocm5.1.1, 1.13.0, 1.13.0+cpu, 1.13.0+cu116, 1.13.0+cu117, 1.13.0+cu117.with.pypi.cudnn, 1.13.0+rocm5.1.1, 1.13.0+rocm5.2, 1.13.1, 1.13.1+cpu, 1.13.1+cu116, 1.13.1+cu117, 1.13.1+cu117.with.pypi.cudnn, 1.13.1+rocm5.1.1, 1.13.1+rocm5.2, 2.0.0, 2.0.0+cpu, 2.0.0+cpu.cxx11.abi, 2.0.0+cu117, 2.0.0+cu117.with.pypi.cudnn, 2.0.0+cu118, 2.0.0+rocm5.3, 2.0.0+rocm5.4.2, 2.0.1, 2.0.1+cpu, 2.0.1+cpu.cxx11.abi, 2.0.1+cu117, 2.0.1+cu117.with.pypi.cudnn, 2.0.1+cu118, 2.0.1+rocm5.3, 2.0.1+rocm5.4.2, 2.1.0, 2.1.0+cpu, 2.1.0+cpu.cxx11.abi, 2.1.0+cu118, 2.1.0+cu121, 2.1.0+cu121.with.pypi.cudnn, 2.1.0+rocm5.5, 2.1.0+rocm5.6, 2.1.1, 2.1.1+cpu, 2.1.1+cpu.cxx11.abi, 2.1.1+cu118, 2.1.1+cu121, 2.1.1+cu121.with.pypi.cudnn, 2.1.1+rocm5.5, 2.1.1+rocm5.6, 2.1.2, 2.1.2+cpu, 2.1.2+cpu.cxx11.abi, 2.1.2+cu118, 2.1.2+cu121, 2.1.2+cu121.with.pypi.cudnn, 2.1.2+rocm5.5, 2.1.2+rocm5.6, 2.2.0, 2.2.0+cpu, 2.2.0+cpu.cxx11.abi, 2.2.0+cu118, 2.2.0+cu121, 2.2.0+rocm5.6, 2.2.0+rocm5.7, 2.2.1, 2.2.1+cpu, 2.2.1+cpu.cxx11.abi, 2.2.1+cu118, 2.2.1+cu121, 2.2.1+rocm5.6, 2.2.1+rocm5.7, 2.2.2, 2.2.2+cpu, 2.2.2+cpu.cxx11.abi, 2.2.2+cu118, 2.2.2+cu121, 2.2.2+rocm5.6, 2.2.2+rocm5.7, 2.3.0, 2.3.0+cpu, 2.3.0+cpu.cxx11.abi, 2.3.0+cu118, 2.3.0+cu121, 2.3.0+rocm5.7, 2.3.0+rocm6.0, 2.3.1, 2.3.1+cpu, 2.3.1+cpu.cxx11.abi, 2.3.1+cu118, 2.3.1+cu121, 2.3.1+rocm5.7, 2.3.1+rocm6.0, 2.4.0, 2.4.1, 2.5.0)\u001b[0m\u001b[31m\n", + "\u001b[0m\u001b[31mERROR: No matching distribution found for torch==1.9.1+cu111\u001b[0m\u001b[31m\n", + "\u001b[0m" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "import torch\n", + "from transformers import AutoModelForSequenceClassification, AutoTokenizer, AutoConfig\n", + "import numpy as np\n", + "from scipy.special import softmax\n", + "import gradio as gr\n", + "torch.cuda.is_available()" + ], + "metadata": { + "id": "4D5DauxYbU98", + "colab": { + "base_uri": "https://localhost:8080/" + }, + "outputId": "7fff8e5e-528c-47a9-ec3a-1dfc7bac4fd3" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "execute_result", + "data": { + "text/plain": [ + "False" + ] + }, + "metadata": {}, + "execution_count": 4 + } + ] + }, + { + "cell_type": "code", + "source": [ + "model_path = \"cardiffnlp/twitter-roberta-base-sentiment-latest\"\n", + "\n", + "tokenizer = AutoTokenizer.from_pretrained(model_path)\n", + "config = AutoConfig.from_pretrained(model_path)\n", + "model = AutoModelForSequenceClassification.from_pretrained(model_path)\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 388, + "referenced_widgets": [ + 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"37a74b8acdbf44ddbf3afd18e93a1ca4", + "2051137c939d47f78935acd7e57149a2", + "a39ecad0b5464792b70914322182ccf6" + ] + }, + "id": "-ZE1x72g3yv0", + "outputId": "3812b7a4-2743-46ef-c89c-c4e005551d92" + }, + "execution_count": null, + "outputs": [ + { + "output_type": "stream", + "name": "stderr", + "text": [ + "/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", + "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%| | 0.00/929 [00:00" + ], + "text/html": [ + "
" + ] + }, + "metadata": {} + }, + { + "output_type": "execute_result", + "data": { + "text/plain": [] + }, + "metadata": {}, + "execution_count": 8 + } + ] + }, + { + "cell_type": "code", + "source": [ + "!ls\n", + "!git add app.py\n", + "!git commit -m \"app.py\"\n", + "#!git push\n", + "#!git push" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/" + }, + "id": "oU0L06YkMquu", + "outputId": "39551554-72b7-49f6-c1dd-7db21c291b3f" + }, + "execution_count": 10, + "outputs": [ + { + "output_type": "stream", + "name": "stdout", + "text": [ + "sample_data Sentiment\n", + "fatal: not a git repository (or any of the parent directories): .git\n", + "fatal: not a git repository (or any of the parent directories): .git\n" + ] + } + ] + }, + { + "cell_type": "code", + "source": [ + "from transformers import AutoModelForSequenceClassification, AutoTokenizer\n", + "from huggingface_hub import notebook_login\n", + "\n", + "notebook_login()\n", + "\n", + "model.push_to_hub(\"Kiro0o/bert-sentiment-analysis\")\n", + "tokenizer.push_to_hub(\"Kiro0o/bert-sentiment-analysis\")\n" + ], + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 729, + "referenced_widgets": [ + "062e07e9c999420eb7e6f353abc61279", + "e007d9d4dd8e428c900efe49f8bbb62c", + "0db7920e849d4e16b2d2a5f5afa7ef70", + "5611f16c6c784e64a00c60eb3b1b66bc", + "c4da6ebed3e64291a5f7fc12b9321914", + "4b1b4a677d68477d8605c0bb54a7c1bf", + "2250661a03064064b711e4a0035d3d08", + "73120158571e473d99fdd524ba882e98", + "e6925ba466a446fc941073f7b2304a69", + "98394977b70e40fbabb6aae1c5a90eb1", + "865fa016fa404ea989df576919c0e8cb", + "5f389c4848f044c6ba740c2302407e2f", + "84ff06aafc9f4e8ab45698e9bf05592d", + "b9c66bd1103c4fdaaec035b65cbad03a", + "aeff8c13fe0144afa122765e64ddb027", + "3ac16fc8511d4224a2b9360cc63379cb", + "187e28956eb542849218dc3feb9c6100" + ] + }, + "id": "KASeNPFvcGs9", + "outputId": "bbd5ddc8-8437-4965-b588-b09aed42195c", + "collapsed": true + }, + "execution_count": null, + "outputs": [ + { + "output_type": "display_data", + "data": { + "text/plain": [ + "VBox(children=(HTML(value='
406\u001b[0;31m \u001b[0mresponse\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mraise_for_status\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 407\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mHTTPError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0me\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/requests/models.py\u001b[0m in \u001b[0;36mraise_for_status\u001b[0;34m(self)\u001b[0m\n\u001b[1;32m 1023\u001b[0m \u001b[0;32mif\u001b[0m \u001b[0mhttp_error_msg\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 1024\u001b[0;31m \u001b[0;32mraise\u001b[0m \u001b[0mHTTPError\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mhttp_error_msg\u001b[0m\u001b[0;34m,\u001b[0m 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\u001b[0;36mpush_to_hub\u001b[0;34m(self, repo_id, use_temp_dir, commit_message, private, token, max_shard_size, create_pr, safe_serialization, revision, commit_description, tags, **deprecated_kwargs)\u001b[0m\n\u001b[1;32m 912\u001b[0m \u001b[0morganization\u001b[0m \u001b[0;34m=\u001b[0m \u001b[0mdeprecated_kwargs\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mpop\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;34m\"organization\"\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 913\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m--> 914\u001b[0;31m repo_id = self._create_repo(\n\u001b[0m\u001b[1;32m 915\u001b[0m \u001b[0mrepo_id\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mprivate\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mprivate\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mtoken\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mtoken\u001b[0m\u001b[0;34m,\u001b[0m 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ignore\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n", + "\u001b[0;32m/usr/local/lib/python3.10/dist-packages/huggingface_hub/hf_api.py\u001b[0m in \u001b[0;36mcreate_repo\u001b[0;34m(self, repo_id, token, private, repo_type, exist_ok, resource_group_id, space_sdk, space_hardware, space_storage, space_sleep_time, space_secrets, space_variables)\u001b[0m\n\u001b[1;32m 3521\u001b[0m \u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3522\u001b[0m \u001b[0;32mtry\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m-> 3523\u001b[0;31m \u001b[0mhf_raise_for_status\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0mr\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m\u001b[1;32m 3524\u001b[0m \u001b[0;32mexcept\u001b[0m \u001b[0mHTTPError\u001b[0m \u001b[0;32mas\u001b[0m \u001b[0merr\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[1;32m 3525\u001b[0m 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"text": [ + "Cloning into 'Sentiment'...\n", + "remote: Enumerating objects: 4, done.\u001b[K\n", + "remote: Total 4 (delta 0), reused 0 (delta 0), pack-reused 4 (from 1)\u001b[K\n", + "Unpacking objects: 100% (4/4), 1.29 KiB | 1.29 MiB/s, done.\n" + ] + } + ] + } + ] +} \ No newline at end of file