gpt2 example docs fix (#1830)

keras-team · Apr 13, 2024 · 39a09fc · 39a09fc
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diff --git a/examples/generative/gpt2_text_generation_with_kerasnlp.py b/examples/generative/gpt2_text_generation_with_kerasnlp.py
@@ -1,8 +1,8 @@
 """
 Title: GPT2 Text Generation with KerasNLP
 Author: Chen Qian
-Date created: 04/17/2023
-Last modified: 04/17/2023
+Date created: 2023/04/17
+Last modified: 2024/04/12
 Description: Use KerasNLP GPT2 model and `samplers` to do text generation.
 Accelerator: GPU
 """
@@ -27,8 +27,8 @@
 """
 ## Install KerasNLP, Choose Backend and Import Dependencies
 
-This examples uses [Keras Core](https://keras.io/keras_core/) to work in any of
-`"tensorflow"`, `"jax"` or `"torch"`. Support for Keras Core is baked into
+This examples uses [Keras 3](https://keras.io/keras_3/) to work in any of
+`"tensorflow"`, `"jax"` or `"torch"`. Support for Keras 3 is baked into
 KerasNLP, simply change the `"KERAS_BACKEND"` environment variable to select
 the backend of your choice. We select the JAX backend below.
 """

diff --git a/examples/generative/ipynb/gpt2_text_generation_with_kerasnlp.ipynb b/examples/generative/ipynb/gpt2_text_generation_with_kerasnlp.ipynb
@@ -9,8 +9,8 @@
     "# GPT2 Text Generation with KerasNLP\n",
     "\n",
     "**Author:** Chen Qian<br>\n",
-    "**Date created:** 04/17/2023<br>\n",
-    "**Last modified:** 04/17/2023<br>\n",
+    "**Date created:** 2023/04/17<br>\n",
+    "**Last modified:** 2024/04/12<br>\n",
     "**Description:** Use KerasNLP GPT2 model and `samplers` to do text generation."
    ]
   },
@@ -49,15 +49,15 @@
    "source": [
     "## Install KerasNLP, Choose Backend and Import Dependencies\n",
     "\n",
-    "This examples uses [Keras Core](https://keras.io/keras_core/) to work in any of\n",
-    "`\"tensorflow\"`, `\"jax\"` or `\"torch\"`. Support for Keras Core is baked into\n",
+    "This examples uses [Keras 3](https://keras.io/keras_3/) to work in any of\n",
+    "`\"tensorflow\"`, `\"jax\"` or `\"torch\"`. Support for Keras 3 is baked into\n",
     "KerasNLP, simply change the `\"KERAS_BACKEND\"` environment variable to select\n",
     "the backend of your choice. We select the JAX backend below."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 0,
+   "execution_count": null,
    "metadata": {
     "colab_type": "code"
    },
@@ -68,7 +68,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 0,
+   "execution_count": null,
    "metadata": {
     "colab_type": "code"
    },
@@ -157,7 +157,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 0,
+   "execution_count": null,
    "metadata": {
     "colab_type": "code"
    },
@@ -187,7 +187,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 0,
+   "execution_count": null,
    "metadata": {
     "colab_type": "code"
    },
@@ -214,7 +214,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 0,
+   "execution_count": null,
    "metadata": {
     "colab_type": "code"
    },
@@ -291,7 +291,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 0,
+   "execution_count": null,
    "metadata": {
     "colab_type": "code"
    },
@@ -317,7 +317,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 0,
+   "execution_count": null,
    "metadata": {
     "colab_type": "code"
    },
@@ -341,7 +341,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 0,
+   "execution_count": null,
    "metadata": {
     "colab_type": "code"
    },
@@ -372,7 +372,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 0,
+   "execution_count": null,
    "metadata": {
     "colab_type": "code"
    },
@@ -411,7 +411,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 0,
+   "execution_count": null,
    "metadata": {
     "colab_type": "code"
    },
@@ -450,7 +450,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 0,
+   "execution_count": null,
    "metadata": {
     "colab_type": "code"
    },
@@ -500,7 +500,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 0,
+   "execution_count": null,
    "metadata": {
     "colab_type": "code"
    },
@@ -516,12 +516,12 @@
     "colab_type": "text"
    },
    "source": [
-    "Load text from the json file. We only use\u300a\u5168\u5510\u8bd7\u300bfor demo purposes."
+    "Load text from the json file. We only use《全唐诗》for demo purposes."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 0,
+   "execution_count": null,
    "metadata": {
     "colab_type": "code"
    },
@@ -531,10 +531,10 @@
     "import json\n",
     "\n",
     "poem_collection = []\n",
-    "for file in os.listdir(\"chinese-poetry/\u5168\u5510\u8bd7\"):\n",
+    "for file in os.listdir(\"chinese-poetry/全唐诗\"):\n",
     "    if \".json\" not in file or \"poet\" not in file:\n",
     "        continue\n",
-    "    full_filename = \"%s/%s\" % (\"chinese-poetry/\u5168\u5510\u8bd7\", file)\n",
+    "    full_filename = \"%s/%s\" % (\"chinese-poetry/全唐诗\", file)\n",
     "    with open(full_filename, \"r\") as f:\n",
     "        content = json.load(f)\n",
     "        poem_collection.extend(content)\n",
@@ -553,7 +553,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 0,
+   "execution_count": null,
    "metadata": {
     "colab_type": "code"
    },
@@ -574,7 +574,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 0,
+   "execution_count": null,
    "metadata": {
     "colab_type": "code"
    },
@@ -618,13 +618,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 0,
+   "execution_count": null,
    "metadata": {
     "colab_type": "code"
    },
    "outputs": [],
    "source": [
-    "output = gpt2_lm.generate(\"\u6628\u591c\u96e8\u758f\u98ce\u9aa4\", max_length=200)\n",
+    "output = gpt2_lm.generate(\"昨夜雨疏风骤\", max_length=200)\n",
     "print(output)"
    ]
   },
@@ -634,7 +634,7 @@
     "colab_type": "text"
    },
    "source": [
-    "Not bad \ud83d\ude00"
+    "Not bad 😀"
    ]
   }
  ],
@@ -667,4 +667,4 @@
  },
  "nbformat": 4,
  "nbformat_minor": 0
-}
+}
diff --git a/examples/generative/md/gpt2_text_generation_with_kerasnlp.md b/examples/generative/md/gpt2_text_generation_with_kerasnlp.md
@@ -1,8 +1,8 @@
 # GPT2 Text Generation with KerasNLP
 
 **Author:** Chen Qian<br>
-**Date created:** 04/17/2023<br>
-**Last modified:** 04/17/2023<br>
+**Date created:** 2023/04/17<br>
+**Last modified:** 2024/04/12<br>
 **Description:** Use KerasNLP GPT2 model and `samplers` to do text generation.
 
 
@@ -27,8 +27,8 @@ GPT-2 model. Running this tutorial on CPU runtime will take hours.
 ---
 ## Install KerasNLP, Choose Backend and Import Dependencies
 
-This examples uses [Keras Core](https://keras.io/keras_core/) to work in any of
-`"tensorflow"`, `"jax"` or `"torch"`. Support for Keras Core is baked into
+This examples uses [Keras 3](https://keras.io/keras_3/) to work in any of
+`"tensorflow"`, `"jax"` or `"torch"`. Support for Keras 3 is baked into
 KerasNLP, simply change the `"KERAS_BACKEND"` environment variable to select
 the backend of your choice. We select the JAX backend below.