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Esri · Apr 15, 2024 · 17937ad · 17937ad
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commit 17937ad
Showing 1 changed file with 4 additions and 4 deletions.
diff --git a/guide/14-deep-learning/use_mistral_llm_for_text_classification_and_entity_recognition.ipynb b/guide/14-deep-learning/use_mistral_llm_for_text_classification_and_entity_recognition.ipynb
@@ -124,7 +124,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Before performing text classification and entity extraction tasks using the mistral model backbone, you'll need to install it. Follow these steps to download and install the Mistral model backbone:\n",
+    "Follow these steps to download and install the Mistral model backbone:\n",
     "\n",
     "1. Download the <a href=\"https://esri.maps.arcgis.com/home/item.html?id=969d2fc57c834295af1a4a42cfd51f68\">mistral model backbone</a>.\n",
     "\n",
@@ -227,7 +227,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "You can create a <code>TextClassifier</code> model with mistral backbone without a large dataset and by using only a few examples."
+    "A <code>TextClassifier</code> model with mistral backbone can also be created without a large dataset and by using only a few examples."
    ]
   },
   {
@@ -310,7 +310,7 @@
    "metadata": {},
    "outputs": [],
    "source": [
-    "classifier_model.from_model(r'path_to_emd_file')"
+    "classifier_model.from_model(r'path_to_dlpk_file')"
    ]
   },
   {
@@ -425,7 +425,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "You can create a <code>EntityRecognizer</code> model with mistral backbone without a large dataset and by using only a few examples."
+    "An <code>EntityRecognizer</code> model with mistral backbone cna also be created without a large dataset and by using only a few examples."
    ]
   },
   {