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{
"cells": [
{
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"metadata": {
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"ExecuteTime": {
"end_time": "2023-07-03T11:40:02.257868Z",
"start_time": "2023-07-03T11:39:50.130235Z"
}
},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Collecting transformers\r\n",
" Using cached transformers-4.30.2-py3-none-any.whl (7.2 MB)\r\n",
"Collecting torch\r\n",
" Using cached torch-2.0.1-cp39-none-macosx_11_0_arm64.whl (55.8 MB)\r\n",
"Requirement already satisfied: pyyaml>=5.1 in ./venv/lib/python3.9/site-packages (from transformers) (6.0)\r\n",
"Requirement already satisfied: requests in ./venv/lib/python3.9/site-packages (from transformers) (2.31.0)\r\n",
"Collecting huggingface-hub<1.0,>=0.14.1\r\n",
" Using cached huggingface_hub-0.15.1-py3-none-any.whl (236 kB)\r\n",
"Collecting regex!=2019.12.17\r\n",
" Using cached regex-2023.6.3-cp39-cp39-macosx_11_0_arm64.whl (288 kB)\r\n",
"Collecting safetensors>=0.3.1\r\n",
" Using cached safetensors-0.3.1-cp39-cp39-macosx_12_0_arm64.whl (401 kB)\r\n",
"Collecting tokenizers!=0.11.3,<0.14,>=0.11.1\r\n",
" Using cached tokenizers-0.13.3-cp39-cp39-macosx_12_0_arm64.whl (3.9 MB)\r\n",
"Requirement already satisfied: numpy>=1.17 in ./venv/lib/python3.9/site-packages (from transformers) (1.25.0)\r\n",
"Requirement already satisfied: packaging>=20.0 in ./venv/lib/python3.9/site-packages (from transformers) (23.1)\r\n",
"Collecting filelock\r\n",
" Using cached filelock-3.12.2-py3-none-any.whl (10 kB)\r\n",
"Collecting tqdm>=4.27\r\n",
" Using cached tqdm-4.65.0-py3-none-any.whl (77 kB)\r\n",
"Collecting networkx\r\n",
" Using cached networkx-3.1-py3-none-any.whl (2.1 MB)\r\n",
"Requirement already satisfied: jinja2 in ./venv/lib/python3.9/site-packages (from torch) (3.1.2)\r\n",
"Collecting sympy\r\n",
" Using cached sympy-1.12-py3-none-any.whl (5.7 MB)\r\n",
"Requirement already satisfied: typing-extensions in ./venv/lib/python3.9/site-packages (from torch) (4.7.0)\r\n",
"Collecting fsspec\r\n",
" Using cached fsspec-2023.6.0-py3-none-any.whl (163 kB)\r\n",
"Requirement already satisfied: MarkupSafe>=2.0 in ./venv/lib/python3.9/site-packages (from jinja2->torch) (2.1.3)\r\n",
"Requirement already satisfied: urllib3<3,>=1.21.1 in ./venv/lib/python3.9/site-packages (from requests->transformers) (2.0.3)\r\n",
"Requirement already satisfied: idna<4,>=2.5 in ./venv/lib/python3.9/site-packages (from requests->transformers) (3.4)\r\n",
"Requirement already satisfied: certifi>=2017.4.17 in ./venv/lib/python3.9/site-packages (from requests->transformers) (2023.5.7)\r\n",
"Requirement already satisfied: charset-normalizer<4,>=2 in ./venv/lib/python3.9/site-packages (from requests->transformers) (3.1.0)\r\n",
"Collecting mpmath>=0.19\r\n",
" Using cached mpmath-1.3.0-py3-none-any.whl (536 kB)\r\n",
"Installing collected packages: tokenizers, safetensors, mpmath, tqdm, sympy, regex, networkx, fsspec, filelock, torch, huggingface-hub, transformers\r\n",
"Successfully installed filelock-3.12.2 fsspec-2023.6.0 huggingface-hub-0.15.1 mpmath-1.3.0 networkx-3.1 regex-2023.6.3 safetensors-0.3.1 sympy-1.12 tokenizers-0.13.3 torch-2.0.1 tqdm-4.65.0 transformers-4.30.2\r\n",
"\r\n",
"\u001B[1m[\u001B[0m\u001B[34;49mnotice\u001B[0m\u001B[1;39;49m]\u001B[0m\u001B[39;49m A new release of pip available: \u001B[0m\u001B[31;49m22.3.1\u001B[0m\u001B[39;49m -> \u001B[0m\u001B[32;49m23.1.2\u001B[0m\r\n",
"\u001B[1m[\u001B[0m\u001B[34;49mnotice\u001B[0m\u001B[1;39;49m]\u001B[0m\u001B[39;49m To update, run: \u001B[0m\u001B[32;49mpip install --upgrade pip\u001B[0m\r\n",
"Note: you may need to restart the kernel to use updated packages.\n"
]
}
],
"source": [
"pip install transformers torch"
]
},
{
"cell_type": "code",
"execution_count": 2,
"outputs": [
{
"name": "stderr",
"output_type": "stream",
"text": [
"/Users/zekunwu/Desktop/Multidimensional_Multilevel_Bias_Detection/venv/lib/python3.9/site-packages/urllib3/__init__.py:34: NotOpenSSLWarning: urllib3 v2.0 only supports OpenSSL 1.1.1+, currently the 'ssl' module is compiled with 'LibreSSL 2.8.3'. See: https://github.com/urllib3/urllib3/issues/3020\n",
" warnings.warn(\n"
]
}
],
"source": [
"from transformers import pipeline"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2023-07-03T11:40:15.740384Z",
"start_time": "2023-07-03T11:40:13.337662Z"
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{
"cell_type": "code",
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"outputs": [
{
"data": {
"text/plain": "Downloading (…)lve/main/config.json: 0%| | 0.00/1.22k [00:00<?, ?B/s]",
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"data": {
"text/plain": "Downloading pytorch_model.bin: 0%| | 0.00/268M [00:00<?, ?B/s]",
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"data": {
"text/plain": "Downloading (…)okenizer_config.json: 0%| | 0.00/320 [00:00<?, ?B/s]",
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"text/plain": "Downloading (…)solve/main/vocab.txt: 0%| | 0.00/232k [00:00<?, ?B/s]",
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{
"data": {
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{
"data": {
"text/plain": "Downloading (…)cial_tokens_map.json: 0%| | 0.00/125 [00:00<?, ?B/s]",
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{
"name": "stderr",
"output_type": "stream",
"text": [
"Xformers is not installed correctly. If you want to use memory_efficient_attention to accelerate training use the following command to install Xformers\n",
"pip install xformers.\n"
]
}
],
"source": [
"testpipe = pipeline(\"text-classification\",\"wu981526092/Sentence-Level-Multidimensional-Bias-Detector\")"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2023-07-03T11:40:46.412969Z",
"start_time": "2023-07-03T11:40:18.473347Z"
}
}
},
{
"cell_type": "code",
"execution_count": 4,
"outputs": [],
"source": [
"result = testpipe.predict([\"this is a test sentence\"])"
],
"metadata": {
"collapsed": false,
"ExecuteTime": {
"end_time": "2023-07-03T11:40:50.912734Z",
"start_time": "2023-07-03T11:40:50.881524Z"
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{
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{
"data": {
"text/plain": "[{'label': 'unrelated', 'score': 0.990786075592041}]"
},
"execution_count": 5,
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"output_type": "execute_result"
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"result"
],
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