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{
"cells": [
{
"cell_type": "code",
"execution_count": 7,
"metadata": {},
"outputs": [],
"source": [
"import spacy\n",
"from spacy import displacy"
]
},
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [],
"source": [
"nlp = spacy.load(\"../training/trf/model-best\")"
]
},
{
"cell_type": "code",
"execution_count": 8,
"metadata": {},
"outputs": [],
"source": [
"text = \"\"\"\n",
"We went to my neighbor's house and we looked inside the barn to hide. We also waited in the kitchen. We found a cellar and later left on a motorbike.\n",
"\"\"\""
]
},
{
"cell_type": "code",
"execution_count": 9,
"metadata": {},
"outputs": [],
"source": [
"doc = nlp(text)"
]
},
{
"cell_type": "code",
"execution_count": 10,
"metadata": {},
"outputs": [
{
"data": {
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" We went to my \n",
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"</span>\n",
". \n",
" </div></span>"
],
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"<IPython.core.display.HTML object>"
]
},
"metadata": {},
"output_type": "display_data"
}
],
"source": [
"displacy.render(doc, style=\"span\")"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
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"display_name": "holocaust",
"language": "python",
"name": "python3"
},
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"file_extension": ".py",
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