Added solution

transformer5.ipynb

@@ -11,7 +11,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 4,
    "outputs": [],
    "source": [
     "from transformers import pipeline\n",
@@ -22,8 +22,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "start_time": "2024-06-05T22:18:09.683477Z",
-     "end_time": "2024-06-05T22:18:18.482741Z"
+     "start_time": "2024-06-09T12:13:28.590508Z",
+     "end_time": "2024-06-09T12:13:40.429636Z"
     }
    }
   },
@@ -38,16 +38,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 5,
    "outputs": [
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "No model was supplied, defaulted to dbmdz/bert-large-cased-finetuned-conll03-english and revision f2482bf (https://huggingface.co/dbmdz/bert-large-cased-finetuned-conll03-english).\n",
-      "Using a pipeline without specifying a model name and revision in production is not recommended.\n",
-      "C:\\Users\\adamw\\PycharmProjects\\pythonProject\\venv\\lib\\site-packages\\huggingface_hub\\file_download.py:1132: FutureWarning: `resume_download` is deprecated and will be removed in version 1.0.0. Downloads always resume when possible. If you want to force a new download, use `force_download=True`.\n",
-      "  warnings.warn(\n",
       "Some weights of the model checkpoint at dbmdz/bert-large-cased-finetuned-conll03-english were not used when initializing BertForTokenClassification: ['bert.pooler.dense.bias', 'bert.pooler.dense.weight']\n",
       "- This IS expected if you are initializing BertForTokenClassification from the checkpoint of a model trained on another task or with another architecture (e.g. initializing a BertForSequenceClassification model from a BertForPreTraining model).\n",
       "- This IS NOT expected if you are initializing BertForTokenClassification from the checkpoint of a model that you expect to be exactly identical (initializing a BertForSequenceClassification model from a BertForSequenceClassification model).\n"
@@ -60,8 +56,8 @@
    "metadata": {
     "collapsed": false,
     "ExecuteTime": {
-     "start_time": "2024-06-05T22:18:18.486678Z",
-     "end_time": "2024-06-05T22:18:22.305194Z"
+     "start_time": "2024-06-09T12:13:40.436629Z",
+     "end_time": "2024-06-09T12:13:43.520630Z"
     }
    }
   },
@@ -135,6 +131,42 @@
     }
    }
   },
+  {
+   "cell_type": "markdown",
+   "source": [
+    "### Przykładowe użycie"
+   ],
+   "metadata": {
+    "collapsed": false
+   }
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "outputs": [
+    {
+     "data": {
+      "text/plain": "[{'entity': 'I-ORG',\n  'score': 0.9995635,\n  'index': 1,\n  'word': 'Hu',\n  'start': 0,\n  'end': 2},\n {'entity': 'I-ORG',\n  'score': 0.99159384,\n  'index': 2,\n  'word': '##gging',\n  'start': 2,\n  'end': 7},\n {'entity': 'I-ORG',\n  'score': 0.99826705,\n  'index': 3,\n  'word': 'Face',\n  'start': 8,\n  'end': 12},\n {'entity': 'I-ORG',\n  'score': 0.9994404,\n  'index': 4,\n  'word': 'Inc',\n  'start': 13,\n  'end': 16},\n {'entity': 'I-LOC',\n  'score': 0.99943465,\n  'index': 11,\n  'word': 'New',\n  'start': 40,\n  'end': 43},\n {'entity': 'I-LOC',\n  'score': 0.99932706,\n  'index': 12,\n  'word': 'York',\n  'start': 44,\n  'end': 48},\n {'entity': 'I-LOC',\n  'score': 0.9993864,\n  'index': 13,\n  'word': 'City',\n  'start': 49,\n  'end': 53},\n {'entity': 'I-LOC',\n  'score': 0.9825622,\n  'index': 19,\n  'word': 'D',\n  'start': 79,\n  'end': 80},\n {'entity': 'I-LOC',\n  'score': 0.936983,\n  'index': 20,\n  'word': '##UM',\n  'start': 80,\n  'end': 82},\n {'entity': 'I-LOC',\n  'score': 0.89870995,\n  'index': 21,\n  'word': '##BO',\n  'start': 82,\n  'end': 84},\n {'entity': 'I-LOC',\n  'score': 0.97582406,\n  'index': 29,\n  'word': 'Manhattan',\n  'start': 113,\n  'end': 122},\n {'entity': 'I-LOC',\n  'score': 0.99024945,\n  'index': 30,\n  'word': 'Bridge',\n  'start': 123,\n  'end': 129}]"
+     },
+     "execution_count": 9,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "sequence = \"Hugging Face Inc. is a company based in New York City. Its headquarters are in DUMBO, therefore very\" \\\n",
+    "           \"close to the Manhattan Bridge which is visible from the window.\"\n",
+    "model_out = nlp(sequence)\n",
+    "model_out"
+   ],
+   "metadata": {
+    "collapsed": false,
+    "ExecuteTime": {
+     "start_time": "2024-06-09T12:14:36.626686Z",
+     "end_time": "2024-06-09T12:14:36.815685Z"
+    }
+   }
+  },
   {
    "cell_type": "markdown",
    "source": [