remove keras-nlp

Author: sachinprasadhs

site/en/gemma/docs/codegemma/keras_quickstart.ipynb

@@ -88,7 +88,7 @@
         "* A 7B instruction-tuned code model\n",
         "* A 2B model, trained specifically for code infilling and open-ended generation.\n",
         "\n",
-        "This guide walks you through using the CodeGemma 2B model with KerasNLP for a code completion task.\n"
+        "This guide walks you through using the CodeGemma 2B model with KerasHub for a code completion task.\n"
       ]
     },
     {
@@ -201,7 +201,6 @@
         }
       ],
       "source": [
-        "!pip install -q -U keras-nlp\n",
         "!pip install -q -U keras-hub\n",
         "!pip install -q -U keras"
       ]
@@ -245,7 +244,7 @@
       "source": [
         "### Import packages\n",
         "\n",
-        "Import Keras and KerasNLP."
+        "Import Keras and KerasHub."
       ]
     },
     {
@@ -271,7 +270,7 @@
       "source": [
         "### Load Model\n",
         "\n",
-        "KerasNLP provides implementations of many popular [model architectures](https://keras.io/api/keras_nlp/models/){:.external}. In this tutorial, you'll create a model using `GemmaCausalLM`, an end-to-end Gemma model for causal language modeling. A causal language model predicts the next token based on previous tokens.\n",
+        "KerasHub provides implementations of many popular [model architectures](https://keras.io/api/keras_nlp/models/){:.external}. In this tutorial, you'll create a model using `GemmaCausalLM`, an end-to-end Gemma model for causal language modeling. A causal language model predicts the next token based on previous tokens.\n",
         "\n",
         "Create the model using the `from_preset` method:"
       ]
@@ -636,7 +635,7 @@
       "source": [
         "## Summary\n",
         "\n",
-        "This tutorial walked you through using CodeGemma to infill code based on the surrounding context. Next, check out the [AI Assisted Programming with CodeGemma and KerasNLP notebook](https://ai.google.dev/gemma/docs/codegemma/code_assist_keras) for more examples on how you can use CodeGemma.\n",
+        "This tutorial walked you through using CodeGemma to infill code based on the surrounding context. Next, check out the [AI Assisted Programming with CodeGemma and KerasHub notebook](https://ai.google.dev/gemma/docs/codegemma/code_assist_keras) for more examples on how you can use CodeGemma.\n",
         "\n",
         "Also refer to The [CodeGemma model card](https://ai.google.dev/gemma/docs/codegemma/model_card) for the technical specs of the CodeGemma models.\n"
       ]