From efeae639a5f8e44ab18a18d3ff2262826c251427 Mon Sep 17 00:00:00 2001
From: Kenneth Enevoldsen <kennethcenevoldsen@gmail.com>
Date: Mon, 10 Apr 2023 20:49:17 -0700
Subject: [PATCH] docs: hide downloads from output

---
 docs/tutorials/basic.ipynb | 89 +++++++++++++++++++++-----------------
 1 file changed, 50 insertions(+), 39 deletions(-)

diff --git a/docs/tutorials/basic.ipynb b/docs/tutorials/basic.ipynb
index 1274b58a..b1493aab 100644
--- a/docs/tutorials/basic.ipynb
+++ b/docs/tutorials/basic.ipynb
@@ -218,6 +218,32 @@
      "hide-output"
     ]
    },
+   "outputs": [
+    {
+     "data": {
+      "text/plain": [
+       "<spacy_wrap.pipeline_component_tok_clf.TokenClassificationTransformer at 0x16d0e6080>"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# load the small dacy model excluding the NER component\n",
+    "nlp = dacy.load(\"small\", exclude=[\"ner\"])\n",
+    "# or use an empty spacy model if you only want to do NER\n",
+    "# nlp = spacy.blank(\"da\")\n",
+    "\n",
+    "# add the ner component from the state-of-the-art model\n",
+    "nlp.add_pipe(\"dacy/ner\")"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
    "outputs": [
     {
      "data": {
@@ -247,21 +273,6 @@
      "output_type": "display_data"
     }
    ],
-   "source": [
-    "# load the small dacy model excluding the NER component\n",
-    "nlp = dacy.load(\"small\", exclude=[\"ner\"])\n",
-    "# or use an empty spacy model if you only want to do NER\n",
-    "# nlp = spacy.blank(\"da\")\n",
-    "\n",
-    "# add the ner component from the state-of-the-art model\n",
-    "nlp.add_pipe(\"dacy/ner\")"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": null,
-   "metadata": {},
-   "outputs": [],
    "source": [
     "doc = nlp(\"Denne NER model er trænet af Dan fra Alexandra Instituttet\")\n",
     "\n",
@@ -320,7 +331,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {
     "tags": [
      "hide-output"
@@ -330,10 +341,10 @@
     {
      "data": {
       "text/plain": [
-       "<spacy.pipeline.ner.EntityRecognizer at 0x29cc06ab0>"
+       "<spacy.pipeline.ner.EntityRecognizer at 0x297326a40>"
       ]
      },
-     "execution_count": 7,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -350,7 +361,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -405,7 +416,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
@@ -471,13 +482,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
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@@ -601,7 +612,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
@@ -633,7 +644,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -673,7 +684,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {