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{
"cells": [
{
"cell_type": "markdown",
"id": "e12b9784-0a73-447c-bd95-5c4db12213ec",
"metadata": {},
"source": [
"## Load "
]
},
{
"cell_type": "code",
"execution_count": 11,
"id": "94c34109-799b-4094-934b-85df33a3be99",
"metadata": {},
"outputs": [],
"source": [
"import transformers\n",
"import pandas as pd\n",
"import numpy as np\n",
"import torch\n",
"from transformers import BertTokenizer\n",
"\n",
"# Path of bert model\n",
"path = '/home/colombo_phd/ItalianLaws/Data/BERT-Domains/'\n",
"\n",
"# label df to convert token to string\n",
"label = pd.read_csv(path +'label_tokens.csv', sep = ';')\n",
"\n",
"# Load model\n",
"if torch.cuda.is_available():\n",
" model = torch.load('bert_model')\n",
"else:\n",
" model = torch.load(path +'bert_model', map_location=torch.device('cpu'))"
]
},
{
"cell_type": "markdown",
"id": "f8df905b-9a7b-46ec-8aab-adb15b50aad5",
"metadata": {},
"source": [
"## String to evaluate - title of the law"
]
},
{
"cell_type": "code",
"execution_count": 19,
"id": "5868b342-3161-4862-b269-1d4959359d48",
"metadata": {},
"outputs": [],
"source": [
"title = 'Regolamento per il commercio di prodotti agricoli in europa'"
]
},
{
"cell_type": "markdown",
"id": "3c2d173a-4702-4fb3-93f8-c1ea366bdc41",
"metadata": {},
"source": [
"## Run model"
]
},
{
"cell_type": "code",
"execution_count": 20,
"id": "d57af582-61bc-4be9-b305-63a40ede1311",
"metadata": {},
"outputs": [],
"source": [
"tokenizer = BertTokenizer.from_pretrained('bert-base-uncased', do_lower_case=True)\n",
"encoded_dict = tokenizer.encode_plus(\n",
" title,\n",
" add_special_tokens = True,\n",
" max_length = 389,\n",
" truncation=True,\n",
" pad_to_max_length = True,\n",
" return_attention_mask = True,\n",
" return_tensors = 'pt',\n",
" )\n",
"test_input_ids = torch.cat([encoded_dict['input_ids']], dim=0)\n",
"test_attention_masks = torch.cat([encoded_dict['attention_mask']], dim=0)\n",
"\n",
"b_input_ids = test_input_ids.to(device)\n",
"b_input_mask = test_attention_masks.to(device)\n",
"with torch.no_grad():\n",
" output= model(b_input_ids,\n",
" token_type_ids=None,\n",
" attention_mask=b_input_mask)\n",
" logits = output.logits\n",
" logits = logits.detach().cpu().numpy()\n",
" pred_flat = np.argmax(logits, axis=1).flatten()"
]
},
{
"cell_type": "markdown",
"id": "bbf3114a-c0ad-411c-b35b-1d7ec922035d",
"metadata": {},
"source": [
"## Derive domain"
]
},
{
"cell_type": "code",
"execution_count": 31,
"id": "c2e3004b-d735-4462-bbda-6bdb02586102",
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"'economia'"
]
},
"execution_count": 31,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"label[label['label']== pred_flat[0]]['Ministries'].iloc[0]"
]
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3 (ipykernel)",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.10.14"
}
},
"nbformat": 4,
"nbformat_minor": 5
}
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