03_06_loading_custom_word_vectors.ipynb

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   "source": [
    "# <center>Loading Custom Word Vectors into a spaCy Model</center>"
   ]
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   "source": [
    "<center>Dr. W.J.B. Mattingly</center>\n",
    "\n",
    "<center>Smithsonian Data Science Lab and United States Holocaust Memorial Museum</center>\n",
    "\n",
    "<center>January 2021</center>"
   ]
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   "source": [
    "## Key Concepts in this Notebook"
   ]
  },
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   "cell_type": "markdown",
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   "source": [
    "1) How to load word vectors into a spaCy model<br>\n"
   ]
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   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Loading Word Vectors"
   ]
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   "source": [
    "This notebook will be short. It has one purpose, to provide the code necessary for loading word vectors into a blank spaCy model. We will use the word vectors we created in the last notebook: data/word_vecs.txt. There are two different ways to load word vectors into a spaCy model, either via command line (demonstrated in video) or via a Python script using subprocess and sys. I prefer the latter because I can automate the creation of blank spaCy models. I detail both of these methods in the video below. The code is explained in more depth in the video as well."
   ]
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   "execution_count": 3,
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      "New spaCy model created with word vectors. File: data/sample_model\n"
     ]
    }
   ],
   "source": [
    "def load_word_vectors(model_name, word_vectors):\n",
    "    import spacy\n",
    "    import subprocess\n",
    "    import sys\n",
    "    subprocess.run([sys.executable,\n",
    "                    \"-m\",\n",
    "                    \"spacy\",\n",
    "                    \"init-model\",\n",
    "                    \"en\",\n",
    "                    model_name,\n",
    "                    \"--vectors-loc\",\n",
    "                    word_vectors\n",
    "                        ]\n",
    "                    )\n",
    "    print (f\"New spaCy model created with word vectors. File: {model_name}\")\n",
    "load_word_vectors(\"data/sample_model\", \"data/word_vecs.txt\")"
   ]
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   "cell_type": "markdown",
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   "source": [
    "You will now be able to call the blank spaCy model, like so:"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [],
   "source": [
    "import spacy\n",
    "\n",
    "nlp = spacy.load(\"data/sample_model\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Exercise"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Try to load the custom word vectors you created from the exercise in the last notebook into a blank spaCy model."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Video"
   ]
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