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Update tensorflow-text notebooks from 2.8 to 2.11
PiperOrigin-RevId: 509933115
1 parent fae2fce commit 978fd9f

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-31
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‎docs/guide/bert_preprocessing_guide.ipynb

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{
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"cell_type": "markdown",
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"source": [
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"<table class=\"tfo-notebook-buttons\" align=\"left\">\n",
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" <td>\n",
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" <a target=\"_blank\" href=\"https://www.tensorflow.org/text/guide/bert_preprocessing_guide\"><img src=\"https://www.tensorflow.org/images/tf_logo_32px.png\" />View on TensorFlow.org</a>\n",
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" </td>\n",
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" <td>\n",
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" <a target=\"_blank\" href=\"https://colab.research.google.com/github/tensorflow/text/blob/master/docs/guide/bert_preprocessing_guide.ipynb\"><img src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" />Run in Google Colab</a>\n",
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" </td>\n",
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" <td>\n",
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" <a target=\"_blank\" href=\"https://github.com/tensorflow/text/blob/master/docs/guide/bert_preprocessing_guide.ipynb\"><img src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\" />View on GitHub</a>\n",
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" </td>\n",
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" <td>\n",
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" <a href=\"https://storage.googleapis.com/tensorflow_docs/text/docs/guide/bert_preprocessing_guide.ipynb\"><img src=\"https://www.tensorflow.org/images/download_logo_32px.png\" />Download notebook</a>\n",
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" </td>\n",
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"</table>"
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"\u003ctable class=\"tfo-notebook-buttons\" align=\"left\"\u003e\n",
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" \u003ctd\u003e\n",
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" \u003ca target=\"_blank\" href=\"https://www.tensorflow.org/text/guide/bert_preprocessing_guide\"\u003e\u003cimg src=\"https://www.tensorflow.org/images/tf_logo_32px.png\" /\u003eView on TensorFlow.org\u003c/a\u003e\n",
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" \u003c/td\u003e\n",
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" \u003ctd\u003e\n",
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" \u003ca target=\"_blank\" href=\"https://colab.research.google.com/github/tensorflow/text/blob/master/docs/guide/bert_preprocessing_guide.ipynb\"\u003e\u003cimg src=\"https://www.tensorflow.org/images/colab_logo_32px.png\" /\u003eRun in Google Colab\u003c/a\u003e\n",
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" \u003c/td\u003e\n",
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" \u003ctd\u003e\n",
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" \u003ca target=\"_blank\" href=\"https://github.com/tensorflow/text/blob/master/docs/guide/bert_preprocessing_guide.ipynb\"\u003e\u003cimg src=\"https://www.tensorflow.org/images/GitHub-Mark-32px.png\" /\u003eView on GitHub\u003c/a\u003e\n",
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" \u003c/td\u003e\n",
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" \u003ctd\u003e\n",
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" \u003ca href=\"https://storage.googleapis.com/tensorflow_docs/text/docs/guide/bert_preprocessing_guide.ipynb\"\u003e\u003cimg src=\"https://www.tensorflow.org/images/download_logo_32px.png\" /\u003eDownload notebook\u003c/a\u003e\n",
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" \u003c/td\u003e\n",
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"\u003c/table\u003e"
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],
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"metadata": {
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"id": "MfBg1C5NB3X0"
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"cell_type": "code",
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"execution_count": null,
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"source": [
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"!pip install -q -U \"tensorflow-text==2.8.*\""
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"!pip install -q -U \"tensorflow-text==2.11.*\""
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],
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"outputs": [],
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"metadata": {
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"source": [
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"import tensorflow as tf\n",
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"import tensorflow_text as text\n",
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"import functools"
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"import functools\n",
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"print(\"TensorFlow version: \", tf.__version__)"
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],
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"outputs": [],
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"metadata": {
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"\n",
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"For `mask_token_rate` of the time, replace the item with the `[MASK]` token:\n",
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"\n",
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" \"my dog is hairy\" -> \"my dog is [MASK]\"\n",
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" \"my dog is hairy\" -\u003e \"my dog is [MASK]\"\n",
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" \n",
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"For `random_token_rate` of the time, replace the item with a random word:\n",
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"\n",
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" \"my dog is hairy\" -> \"my dog is apple\"\n",
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" \"my dog is hairy\" -\u003e \"my dog is apple\"\n",
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" \n",
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"For `1 - mask_token_rate - random_token_rate` of the time, keep the item\n",
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"unchanged:\n",
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"\n",
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" \"my dog is hairy\" -> \"my dog is hairy.\"\n",
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" \"my dog is hairy\" -\u003e \"my dog is hairy.\"\n",
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"\n",
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"[`text.MaskedValuesChooser`](https://tensorflow.org/text/api_docs/python/text/MaskValuesChooser) encapsulates this logic and can be used for our preprocessing function. Here's an example of what `MaskValuesChooser` returns given a `mask_token_rate` of 80% and default `random_token_rate`:\n"
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],

‎docs/guide/decoding_api.ipynb

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},
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"outputs": [],
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"source": [
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"!pip install -q -U \"tensorflow-text==2.8.*\""
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"!pip install -q -U \"tensorflow-text==2.11.*\""
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]
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},
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{

‎docs/guide/subwords_tokenizer.ipynb

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"source": [
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"!pip install -q -U \"tensorflow-text==2.8.*\""
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"!pip install -q -U \"tensorflow-text==2.11.*\""
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]
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{

‎docs/guide/text_tf_lite.ipynb

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"!pip install -U \"tensorflow-text==2.8.*\""
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"!pip install -U \"tensorflow-text==2.11.*\""
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{

‎docs/guide/tokenizers.ipynb

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},
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"outputs": [],
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"source": [
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"!pip install -q \"tensorflow-text==2.8.*\""
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"!pip install -q \"tensorflow-text==2.11.*\""
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{

‎docs/tutorials/bert_glue.ipynb

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},
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"outputs": [],
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"!pip install -q -U \"tensorflow-text==2.8.*\""
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"!pip install -q -U \"tensorflow-text==2.11.*\""
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},
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"outputs": [],
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"source": [
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"!pip install -q -U tf-models-official==2.7.0"
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"!pip install -q -U tf-models-official==2.11.0"
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‎docs/tutorials/classify_text_with_bert.ipynb

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"# A dependency of the preprocessing for BERT inputs\n",
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"!pip install -q -U \"tensorflow-text==2.8.*\""
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"!pip install -q -U \"tensorflow-text==2.11.*\""
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"!pip install -q tf-models-official==2.7.0"
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"!pip install -q tf-models-official==2.11.0"
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‎docs/tutorials/nmt_with_attention.ipynb

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"outputs": [],
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"!pip install \"tensorflow-text\u003e=2.10\"\n",
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"!pip install \"tensorflow-text\u003e=2.11\"\n",
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"!pip install einops"
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]
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},

‎docs/tutorials/text_similarity.ipynb

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"outputs": [],
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"source": [
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"!pip install -q \"tensorflow-text==2.8.*\""
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"!pip install -q \"tensorflow-text==2.11.*\""
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{

‎docs/tutorials/uncertainty_quantification_with_sngp_bert.ipynb

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"!pip install \"tensorflow-text==2.11.*\""
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"outputs": [],
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"source": [
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"!pip install -U tf-models-official==2.7.0"
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"!pip install -U tf-models-official==2.11.0"
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]
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},
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{

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