Spellchecking

.ci/spellcheck/.pyspelling.wordlist.txt

@@ -37,6 +37,7 @@ backend
 backends
 Baevski
 BasicUNet
+bboxes
 BEiT
 Belrose
 Benchmarking

notebooks/281-kosmos2-multimodal-large-language-model/281-kosmos2-multimodal-large-language-model.ipynb

@@ -173,10 +173,7 @@
    "execution_count": 2,
    "id": "e58971ead7c372d5",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [],
    "source": [
@@ -281,10 +278,7 @@
    "execution_count": 3,
    "id": "c5d8e7a052135c7b",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [
     {
@@ -309,10 +303,7 @@
    "cell_type": "markdown",
    "id": "ee206f85-101d-4276-8e31-50611c9a48ad",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "## Convert models to OpenVINO Intermediate representation (IR) format\n",
@@ -456,7 +447,7 @@
     "### Convert Text model \n",
     "[back to top ⬆️](#Table-of-contents:)\n",
     "\n",
-    "The Text Model performs in generation pipeline and we can separate it into two stage. In the first stage the model tranforms `image_embeds` into output for the second stage. In the second stage the model produses tokens during several runs that can be transformed into raw model generated text by `AutoProcessor`."
+    "The Text Model performs in generation pipeline and we can separate it into two stage. In the first stage the model transforms `image_embeds` into output for the second stage. In the second stage the model produces tokens during several runs that can be transformed into raw model generated text by `AutoProcessor`."
    ]
   },
   {
@@ -926,10 +917,7 @@
    "execution_count": 13,
    "id": "743869c680a14ee",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [
     {
@@ -996,10 +984,7 @@
    "cell_type": "markdown",
    "id": "dcd0b8fd2ac36d1a",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "source": [
     "## Interactive inference\n",
@@ -1011,10 +996,7 @@
    "execution_count": null,
    "id": "e844208b-7c38-46ea-943b-efe382149e54",
    "metadata": {
-    "collapsed": false,
-    "jupyter": {
-     "outputs_hidden": false
-    }
+    "collapsed": false
    },
    "outputs": [],
    "source": [